SlideShare ist ein Scribd-Unternehmen logo
1 von 43
Beyond good enough? Spatial Data Quality and OpenStreetMap data  Dr Muki Haklay  Department of Civil, Environmental and Geomatic Engineering, UCL  m.haklay@ucl.ac.uk With contributions from AamerAther (M.Eng 2009) and NaureenZulfiqar (M.Eng 2008) Ordnance Survey data was kindly provided by the Ordnance Survey research unit.   OSM data was provided by GeoFabrik & CloudMade
Outline Understanding quality of geographical information Evaluation of OSM with Meridian data set Evaluation of OSM with MasterMap What does it all means?
The quality issue How good it the data?  First question: good for what? Subjective quality – fitness for purpose/use Second question: how to measure? Objective quality – but need to evaluate it in light of the first question
The quality issue How good it the data?  Positional accuracy – the position of features or geographic objects in either two or three dimensions Temporal accuracy – how up to date is the data? Does it presents the existing situation and when will it be updated?  Thematic/attribute accuracy – for quantitative attributes (width) and qualitative attributes (geographic names) Completeness – The presence and absence of objects in a dataset at a particular point in time Logical consistency –adherence to the logical rules of the data structure, attribution and relationships
The ‘problem’ We know little about the people that collect it, their skills, knowledge or patterns of data collection Loose coordination and no top-down quality assurance processes – can’t produce good data It is not complete and comprehensive – there are white areas
Who collects?
Who collects?   (c) Dair Grant (cc) Shaun McDonald (cc) Chris Fleming
Working together
Users Participation inequality – small group of users collect most of the information, lots of users collect very little Little ‘on the ground’ collaboration. Important as this is can be the main source of quality assurance - ‘Given enough eyeballs, all bugs are shallow’ (Raymond, 2001)  But does Linus’ law apply to OSM?!?
Accuracy and Completeness- Study I   Comparing OSM to OS Meridian 2 roads layer Maridian 2 -Motorways, major and minor roads are... Complex junctions are collapsed to single nodes and multi-carriageways to single links... some minor roads and cul-de-sacs less than 200m are not represented... Private roads and tracks are not included... Nodes are derived from 1:1,250-1:2,500 mapping, with 20m filter around centre line generalisation
Positional Accuracy A B Meridian 2 and OSM – Motorway comparison
Goodchild and Hunter (1997), Hunter (1999) method Assuming that one dataset is of higher quality Create buffer around the dataset with known width  Calculate the percentage of the evaluated dataset that falls within the buffer
Motorway comparison Buffer of 20m Average of 80% - ranging from 59.81% to 88.80%
Estimating positional accuracy
Positional accuracy On each tile, 100 points sample with evaluation of distance between OSM and Meridian 2 Can see significant variability: from about 3m to over 8m
Completeness – bulk method Assumption: as Meridian 2 is generalised, for each completed sq km: Total length(OSM roads)>Total length(Meridian 2 roads) Dividing England to 1km grid squares, and running a comparison for each cell
London
Birmingham
Manchester and Liverpool
Length comparison For 29.3% of the area of England, OSM is getting nearer completion and as good as Meridian 2 (March 2008). Estimated at %45-50  today. When adding to this attributes, the percentage drops to 24.5% (March 2008). Estimated %35 today. Centres of major cities are well mapped.
Completeness - visual comparison
Completeness – visual comparison
Completeness – difference by user?
Comparison II – Ordnance Survey Master Map Data used for comparison: OS MasterMap Integrated Transport Network (ITN) layer ITN consists of road network information The most accurate and up-to-date geographic reference for Great Britain’s road structure  Any major real world changes are updated within 6 months  Used for numerous applications e.g. Transport management systems, road routing, emergency planning...
Four test locations chosen: TQ28se TQ38se TQ17ne TQ37sw
Buffer analysis – again based on Goodchild and Hunter  (1997) buffer comparison technique: Buffer width (X): X ITN OSM Comparison methodology
Buffer overlap results: 109 roads examined covering over 328 km Results of Master Map comparison
TQ38se (East London) TQ28se (North/Central London)
TQ37sw (South London) TQ17ne (West London)
Quality not linked to length
What does it mean?  OSM is better than Meridian 2 in terms of positional accuracy, and less accurate than MasterMap The differences that were found in comparison I are a mix of the positional inaccuracies of both Meridian 2 and OSM. The higher overlap with MasterMap tells us that OSM was the more accurate of the two...
However ...
What are they paying for? Meridian is officially not complete, clearly not accurate in terms of position, and without clear ‘6 month of major changes update’ rule Hypothesis: When people buy geodata, they pay for the errors, or the notion that the errors are well known and quantified.  Are they?
Putting a price tag on OSM ? 1 seat of Meridian 2 for England - £1272 OSM is 35% complete (positional and attribute) ... ... But higher positional accuracy than Meridian 2 So maybe £500 per seat?  If so, each Sq Km of OSM is worth about 40p or 0.5€ .
Linus’ law and OSM – inconclusive
So should I use OSM? OSM is fit for many purposes to which Meridian 2 is suitable  Positional accuracy is satisfactory for many applications. Attribute accuracy is also satisfactory. Completeness in major urban area is satisfactory – and if the work is at a specific location, it is easy to improve and complete the dataset
Conclusions OSM quality is beyond good enough, it is a product that can be used for a wide range of activities Better quality proxies, can be developed (for example, by user) Quality procedures should also developed with passive sensing from mobile devices More work is required on Linus’ Law
Further reading  Haklay, M., 2008, How good is OpenStreetMap information? A comparative study of OpenStreetMap and Ordnance Survey datasets for London and the rest of England, submitted to Environment and Planning B. Haklay, M. And Weber, P., 2008, OpenStreetMap – User Generated Street Map, IEEE Pervasive Computing. Haklay, M., Singleton, A., and Parker, C., 2008, Web mapping 2.0: the Neogeography of the Geoweb, Geography Compass Haklay, M., 2008, Open Knowledge – learning from environmental information, presented at the Open Knowledge Conference (OKCon) 2008, London, 15 March.  Haklay, M., 2007, OSM and the public - what barriers need to be crossed?presented at State of the Map conference, Manchester, UK, 14-15 July. To get a copy, write to m.haklay@ucl.ac.uk , or get them on povesham.wordpress.com

Weitere ähnliche Inhalte

Was ist angesagt?

Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...
Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...
Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...Safe Software
 
Understanding Public Transport Networks using Free and Open Source Software
Understanding Public Transport Networks using Free and Open Source SoftwareUnderstanding Public Transport Networks using Free and Open Source Software
Understanding Public Transport Networks using Free and Open Source SoftwarePatrick Sunter
 
Telecom Italia Big Data Challenge
Telecom Italia Big Data ChallengeTelecom Italia Big Data Challenge
Telecom Italia Big Data ChallengeGroupon
 
PathS: Enhancing Geographical Maps with Environmental Sensed Data
PathS: Enhancing Geographical Maps with Environmental Sensed DataPathS: Enhancing Geographical Maps with Environmental Sensed Data
PathS: Enhancing Geographical Maps with Environmental Sensed DataUniversity of Geneva
 
Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...
Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...
Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...Beniamino Murgante
 
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...IJECEIAES
 
(Slides) A demand-oriented information retrieval method on MANET
(Slides) A demand-oriented information retrieval method on MANET(Slides) A demand-oriented information retrieval method on MANET
(Slides) A demand-oriented information retrieval method on MANETNaoki Shibata
 
A dynamic cruise control system for effective navigation system
A dynamic cruise control system for effective navigation system A dynamic cruise control system for effective navigation system
A dynamic cruise control system for effective navigation system IJECEIAES
 
[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...
[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...
[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...University of Bologna
 
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...IJMER
 
DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...
 DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA... DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...
DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...civejjour
 
Distributed data fusion for multirobot search
Distributed data fusion for multirobot searchDistributed data fusion for multirobot search
Distributed data fusion for multirobot searchI3E Technologies
 
Improving volunteered geographic data quality using semantic similarity measu...
Improving volunteered geographic data quality using semantic similarity measu...Improving volunteered geographic data quality using semantic similarity measu...
Improving volunteered geographic data quality using semantic similarity measu...arno974
 
OpenStreetMap Completeness for England 03/10
OpenStreetMap Completeness for England 03/10OpenStreetMap Completeness for England 03/10
OpenStreetMap Completeness for England 03/10Muki Haklay
 

Was ist angesagt? (20)

Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...
Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...
Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...
 
Understanding Public Transport Networks using Free and Open Source Software
Understanding Public Transport Networks using Free and Open Source SoftwareUnderstanding Public Transport Networks using Free and Open Source Software
Understanding Public Transport Networks using Free and Open Source Software
 
Telecom Italia Big Data Challenge
Telecom Italia Big Data ChallengeTelecom Italia Big Data Challenge
Telecom Italia Big Data Challenge
 
PathS: Enhancing Geographical Maps with Environmental Sensed Data
PathS: Enhancing Geographical Maps with Environmental Sensed DataPathS: Enhancing Geographical Maps with Environmental Sensed Data
PathS: Enhancing Geographical Maps with Environmental Sensed Data
 
Machine learning for Seismic Data Analysis
Machine learning for Seismic Data AnalysisMachine learning for Seismic Data Analysis
Machine learning for Seismic Data Analysis
 
Dynamic Traffic Modeling
Dynamic Traffic ModelingDynamic Traffic Modeling
Dynamic Traffic Modeling
 
Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...
Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...
Design of a Dynamic Land-Use Change Probability - Yongjin Joo, Chulmin Jun, S...
 
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...
 
(Slides) A demand-oriented information retrieval method on MANET
(Slides) A demand-oriented information retrieval method on MANET(Slides) A demand-oriented information retrieval method on MANET
(Slides) A demand-oriented information retrieval method on MANET
 
A dynamic cruise control system for effective navigation system
A dynamic cruise control system for effective navigation system A dynamic cruise control system for effective navigation system
A dynamic cruise control system for effective navigation system
 
Poster_Queen
Poster_QueenPoster_Queen
Poster_Queen
 
[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...
[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...
[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...
 
20120140507001
2012014050700120120140507001
20120140507001
 
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...
 
DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...
 DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA... DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...
DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...
 
Poster
PosterPoster
Poster
 
Distributed data fusion for multirobot search
Distributed data fusion for multirobot searchDistributed data fusion for multirobot search
Distributed data fusion for multirobot search
 
Improving volunteered geographic data quality using semantic similarity measu...
Improving volunteered geographic data quality using semantic similarity measu...Improving volunteered geographic data quality using semantic similarity measu...
Improving volunteered geographic data quality using semantic similarity measu...
 
Ck32540542
Ck32540542Ck32540542
Ck32540542
 
OpenStreetMap Completeness for England 03/10
OpenStreetMap Completeness for England 03/10OpenStreetMap Completeness for England 03/10
OpenStreetMap Completeness for England 03/10
 

Andere mochten auch

B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15
B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15
B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15Alfie Conetta MSc BSc(Hon) FRGS
 
Extreme Citizen Science: the socio-political potential of citizen science
Extreme Citizen Science: the socio-political potential of citizen scienceExtreme Citizen Science: the socio-political potential of citizen science
Extreme Citizen Science: the socio-political potential of citizen scienceMuki Haklay
 
#FuturePub - Citizen Science, Open Science & scientific publications
#FuturePub - Citizen Science, Open Science & scientific publications#FuturePub - Citizen Science, Open Science & scientific publications
#FuturePub - Citizen Science, Open Science & scientific publicationsMuki Haklay
 
Building centre event "mapping for making"
Building centre event "mapping for making" Building centre event "mapping for making"
Building centre event "mapping for making" Muki Haklay
 
Osm Quality Assessment 2008
Osm Quality Assessment 2008Osm Quality Assessment 2008
Osm Quality Assessment 2008Muki Haklay
 
EEA EPA Network - Frameworks for Citizen Science - 2015
EEA EPA Network - Frameworks for Citizen Science - 2015EEA EPA Network - Frameworks for Citizen Science - 2015
EEA EPA Network - Frameworks for Citizen Science - 2015Muki Haklay
 
4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...
4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...
4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...GISRUK conference
 
Extreme Citizen Science: Current Development
Extreme Citizen Science: Current Development Extreme Citizen Science: Current Development
Extreme Citizen Science: Current Development Muki Haklay
 
INSPIRE 2014 conference
INSPIRE 2014 conferenceINSPIRE 2014 conference
INSPIRE 2014 conferenceMuki Haklay
 
Overview of Citizen Science - Zurich November 2015
Overview of Citizen Science - Zurich November 2015Overview of Citizen Science - Zurich November 2015
Overview of Citizen Science - Zurich November 2015Muki Haklay
 
Citizen Observatories: Mapping for Change air quality studies
Citizen Observatories:  Mapping for Change air quality studiesCitizen Observatories:  Mapping for Change air quality studies
Citizen Observatories: Mapping for Change air quality studiesMuki Haklay
 
Oxford Martin School talk - May 2014
Oxford Martin School talk - May 2014Oxford Martin School talk - May 2014
Oxford Martin School talk - May 2014Muki Haklay
 
Eye on Earth Summit - Data Revolution plenary
Eye on Earth Summit - Data Revolution plenary Eye on Earth Summit - Data Revolution plenary
Eye on Earth Summit - Data Revolution plenary Muki Haklay
 
Citizen Science & Geographical Technologies: creativity, learning, and engage...
Citizen Science & Geographical Technologies: creativity, learning, and engage...Citizen Science & Geographical Technologies: creativity, learning, and engage...
Citizen Science & Geographical Technologies: creativity, learning, and engage...Muki Haklay
 
Citizen science - theory, practice & policy workshop
Citizen science - theory, practice & policy workshopCitizen science - theory, practice & policy workshop
Citizen science - theory, practice & policy workshopMuki Haklay
 
Data and the City workshop 2015
Data and the City workshop 2015Data and the City workshop 2015
Data and the City workshop 2015Muki Haklay
 
Haw GIScience lost its interdisciplinary mojo?
Haw GIScience lost its interdisciplinary mojo?Haw GIScience lost its interdisciplinary mojo?
Haw GIScience lost its interdisciplinary mojo?Muki Haklay
 
Participatory [Citizen] Science
Participatory [Citizen] ScienceParticipatory [Citizen] Science
Participatory [Citizen] ScienceMuki Haklay
 

Andere mochten auch (20)

B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15
B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15
B00624300_EGM701_MSc ResearchPaper_AlfredoConetta_03-May-15
 
B00624300_AlfredoConetta_EGM716_MAUP_Projectc
B00624300_AlfredoConetta_EGM716_MAUP_ProjectcB00624300_AlfredoConetta_EGM716_MAUP_Projectc
B00624300_AlfredoConetta_EGM716_MAUP_Projectc
 
Extreme Citizen Science: the socio-political potential of citizen science
Extreme Citizen Science: the socio-political potential of citizen scienceExtreme Citizen Science: the socio-political potential of citizen science
Extreme Citizen Science: the socio-political potential of citizen science
 
#FuturePub - Citizen Science, Open Science & scientific publications
#FuturePub - Citizen Science, Open Science & scientific publications#FuturePub - Citizen Science, Open Science & scientific publications
#FuturePub - Citizen Science, Open Science & scientific publications
 
Building centre event "mapping for making"
Building centre event "mapping for making" Building centre event "mapping for making"
Building centre event "mapping for making"
 
Osm Quality Assessment 2008
Osm Quality Assessment 2008Osm Quality Assessment 2008
Osm Quality Assessment 2008
 
AlfredoConetta_EGM712_GIS_Project
AlfredoConetta_EGM712_GIS_ProjectAlfredoConetta_EGM712_GIS_Project
AlfredoConetta_EGM712_GIS_Project
 
EEA EPA Network - Frameworks for Citizen Science - 2015
EEA EPA Network - Frameworks for Citizen Science - 2015EEA EPA Network - Frameworks for Citizen Science - 2015
EEA EPA Network - Frameworks for Citizen Science - 2015
 
4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...
4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...
4B_2_A step towards the improvement of spatial quality of web 2.0 geo-applica...
 
Extreme Citizen Science: Current Development
Extreme Citizen Science: Current Development Extreme Citizen Science: Current Development
Extreme Citizen Science: Current Development
 
INSPIRE 2014 conference
INSPIRE 2014 conferenceINSPIRE 2014 conference
INSPIRE 2014 conference
 
Overview of Citizen Science - Zurich November 2015
Overview of Citizen Science - Zurich November 2015Overview of Citizen Science - Zurich November 2015
Overview of Citizen Science - Zurich November 2015
 
Citizen Observatories: Mapping for Change air quality studies
Citizen Observatories:  Mapping for Change air quality studiesCitizen Observatories:  Mapping for Change air quality studies
Citizen Observatories: Mapping for Change air quality studies
 
Oxford Martin School talk - May 2014
Oxford Martin School talk - May 2014Oxford Martin School talk - May 2014
Oxford Martin School talk - May 2014
 
Eye on Earth Summit - Data Revolution plenary
Eye on Earth Summit - Data Revolution plenary Eye on Earth Summit - Data Revolution plenary
Eye on Earth Summit - Data Revolution plenary
 
Citizen Science & Geographical Technologies: creativity, learning, and engage...
Citizen Science & Geographical Technologies: creativity, learning, and engage...Citizen Science & Geographical Technologies: creativity, learning, and engage...
Citizen Science & Geographical Technologies: creativity, learning, and engage...
 
Citizen science - theory, practice & policy workshop
Citizen science - theory, practice & policy workshopCitizen science - theory, practice & policy workshop
Citizen science - theory, practice & policy workshop
 
Data and the City workshop 2015
Data and the City workshop 2015Data and the City workshop 2015
Data and the City workshop 2015
 
Haw GIScience lost its interdisciplinary mojo?
Haw GIScience lost its interdisciplinary mojo?Haw GIScience lost its interdisciplinary mojo?
Haw GIScience lost its interdisciplinary mojo?
 
Participatory [Citizen] Science
Participatory [Citizen] ScienceParticipatory [Citizen] Science
Participatory [Citizen] Science
 

Ähnlich wie Beyond good enough? Spatial Data Quality and OpenStreetMap data

OpenStreetMap - The Quality Issue
OpenStreetMap - The Quality IssueOpenStreetMap - The Quality Issue
OpenStreetMap - The Quality IssueCASA, UCL
 
Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...Institute of Space Knowledge Development
 
National Highway Alignment from Namakkal to Erode Using GIS
National Highway Alignment from Namakkal to Erode Using GISNational Highway Alignment from Namakkal to Erode Using GIS
National Highway Alignment from Namakkal to Erode Using GISIJERA Editor
 
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...Rudolf Husar
 
Field Strength Predicting Outdoor Models
Field Strength Predicting Outdoor ModelsField Strength Predicting Outdoor Models
Field Strength Predicting Outdoor ModelsIRJET Journal
 
Bruce Thompson on digital disruption and the environment
Bruce Thompson on digital disruption and the environment Bruce Thompson on digital disruption and the environment
Bruce Thompson on digital disruption and the environment OCESAdmin
 
Carpita metulini 111220_dssr_bari_version2
Carpita metulini 111220_dssr_bari_version2Carpita metulini 111220_dssr_bari_version2
Carpita metulini 111220_dssr_bari_version2University of Salerno
 
12 SuperAI on Supercomputers
12 SuperAI on Supercomputers12 SuperAI on Supercomputers
12 SuperAI on SupercomputersRCCSRENKEI
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
 
Predictive geospatial analytics using principal component regression
Predictive geospatial analytics using principal component regression Predictive geospatial analytics using principal component regression
Predictive geospatial analytics using principal component regression IJECEIAES
 
Ecosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEA
Ecosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEAEcosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEA
Ecosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEAThe European GNSS Agency (GSA)
 
A NOVEL AND COST EFFECTIVE APPROACH TO PUBLIC VEHICLE TRACKING SYSTEM
A NOVEL AND COST EFFECTIVE APPROACH TO  PUBLIC VEHICLE TRACKING SYSTEMA NOVEL AND COST EFFECTIVE APPROACH TO  PUBLIC VEHICLE TRACKING SYSTEM
A NOVEL AND COST EFFECTIVE APPROACH TO PUBLIC VEHICLE TRACKING SYSTEMijujournal
 
European Location Framework
European Location FrameworkEuropean Location Framework
European Location FrameworkAntti Jakobsson
 
European Location Framework
European Location FrameworkEuropean Location Framework
European Location FrameworkAntti Jakobsson
 
European Location Framework
European Location FrameworkEuropean Location Framework
European Location FrameworkAntti Jakobsson
 
Cnn acuracia remotesensing-08-00329
Cnn acuracia remotesensing-08-00329Cnn acuracia remotesensing-08-00329
Cnn acuracia remotesensing-08-00329Universidade Fumec
 
Topographic Information System as a Tool for Environmental Management, a Case...
Topographic Information System as a Tool for Environmental Management, a Case...Topographic Information System as a Tool for Environmental Management, a Case...
Topographic Information System as a Tool for Environmental Management, a Case...iosrjce
 

Ähnlich wie Beyond good enough? Spatial Data Quality and OpenStreetMap data (20)

OpenStreetMap - The Quality Issue
OpenStreetMap - The Quality IssueOpenStreetMap - The Quality Issue
OpenStreetMap - The Quality Issue
 
Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...
 
National Highway Alignment from Namakkal to Erode Using GIS
National Highway Alignment from Namakkal to Erode Using GISNational Highway Alignment from Namakkal to Erode Using GIS
National Highway Alignment from Namakkal to Erode Using GIS
 
Where Next
Where NextWhere Next
Where Next
 
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
 
Field Strength Predicting Outdoor Models
Field Strength Predicting Outdoor ModelsField Strength Predicting Outdoor Models
Field Strength Predicting Outdoor Models
 
Bruce Thompson on digital disruption and the environment
Bruce Thompson on digital disruption and the environment Bruce Thompson on digital disruption and the environment
Bruce Thompson on digital disruption and the environment
 
Carpita metulini 111220_dssr_bari_version2
Carpita metulini 111220_dssr_bari_version2Carpita metulini 111220_dssr_bari_version2
Carpita metulini 111220_dssr_bari_version2
 
12 SuperAI on Supercomputers
12 SuperAI on Supercomputers12 SuperAI on Supercomputers
12 SuperAI on Supercomputers
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
 
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...
 
Predictive geospatial analytics using principal component regression
Predictive geospatial analytics using principal component regression Predictive geospatial analytics using principal component regression
Predictive geospatial analytics using principal component regression
 
Ecosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEA
Ecosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEAEcosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEA
Ecosystem assessment and accounting in the context of SDG 15 Hans Dufourmont EEA
 
A NOVEL AND COST EFFECTIVE APPROACH TO PUBLIC VEHICLE TRACKING SYSTEM
A NOVEL AND COST EFFECTIVE APPROACH TO  PUBLIC VEHICLE TRACKING SYSTEMA NOVEL AND COST EFFECTIVE APPROACH TO  PUBLIC VEHICLE TRACKING SYSTEM
A NOVEL AND COST EFFECTIVE APPROACH TO PUBLIC VEHICLE TRACKING SYSTEM
 
European Location Framework
European Location FrameworkEuropean Location Framework
European Location Framework
 
European Location Framework
European Location FrameworkEuropean Location Framework
European Location Framework
 
European Location Framework
European Location FrameworkEuropean Location Framework
European Location Framework
 
Cnn acuracia remotesensing-08-00329
Cnn acuracia remotesensing-08-00329Cnn acuracia remotesensing-08-00329
Cnn acuracia remotesensing-08-00329
 
ERROR ESTIMATION IN DEVELOPING GIS MAPS USING DIFFERENT INPUT METHODS OF LAND...
ERROR ESTIMATION IN DEVELOPING GIS MAPS USING DIFFERENT INPUT METHODS OF LAND...ERROR ESTIMATION IN DEVELOPING GIS MAPS USING DIFFERENT INPUT METHODS OF LAND...
ERROR ESTIMATION IN DEVELOPING GIS MAPS USING DIFFERENT INPUT METHODS OF LAND...
 
Topographic Information System as a Tool for Environmental Management, a Case...
Topographic Information System as a Tool for Environmental Management, a Case...Topographic Information System as a Tool for Environmental Management, a Case...
Topographic Information System as a Tool for Environmental Management, a Case...
 

Mehr von Muki Haklay

Devising a citizen science monitoring programme for tree regeneration the upl...
Devising a citizen science monitoring programme for tree regeneration the upl...Devising a citizen science monitoring programme for tree regeneration the upl...
Devising a citizen science monitoring programme for tree regeneration the upl...Muki Haklay
 
The value of citizen science for environmental monitoring in Scotland
The value of citizen science for environmental monitoring in ScotlandThe value of citizen science for environmental monitoring in Scotland
The value of citizen science for environmental monitoring in ScotlandMuki Haklay
 
citizen science - a brief introduction
citizen science - a brief introduction citizen science - a brief introduction
citizen science - a brief introduction Muki Haklay
 
Citizen Science as a tool to support land management in the Cairngorms Nation...
Citizen Science as a tool to support land management in the Cairngorms Nation...Citizen Science as a tool to support land management in the Cairngorms Nation...
Citizen Science as a tool to support land management in the Cairngorms Nation...Muki Haklay
 
Citizen science characteristics webinar
Citizen science characteristics webinarCitizen science characteristics webinar
Citizen science characteristics webinarMuki Haklay
 
Platforms for Citizen Science - ExCiteS experience
Platforms for Citizen Science - ExCiteS experiencePlatforms for Citizen Science - ExCiteS experience
Platforms for Citizen Science - ExCiteS experienceMuki Haklay
 
Citizen science in different project
Citizen science in different project Citizen science in different project
Citizen science in different project Muki Haklay
 
Citizen Science in Open Science context: measuring & understanding impacts of...
Citizen Science in Open Science context: measuring & understanding impacts of...Citizen Science in Open Science context: measuring & understanding impacts of...
Citizen Science in Open Science context: measuring & understanding impacts of...Muki Haklay
 
Extreme Citizen Science technologies: attempting to embed values in code
Extreme Citizen Science technologies: attempting to embed values in codeExtreme Citizen Science technologies: attempting to embed values in code
Extreme Citizen Science technologies: attempting to embed values in codeMuki Haklay
 
The role of learning in community science and citizen science
The role of learning in community science and citizen scienceThe role of learning in community science and citizen science
The role of learning in community science and citizen scienceMuki Haklay
 
The persistent environmental digital divide(s) -RGS-IBG 2018
The persistent environmental digital divide(s) -RGS-IBG 2018The persistent environmental digital divide(s) -RGS-IBG 2018
The persistent environmental digital divide(s) -RGS-IBG 2018Muki Haklay
 
Digital Geographies Working Group - citizen science - passive and assertive i...
Digital Geographies Working Group - citizen science - passive and assertive i...Digital Geographies Working Group - citizen science - passive and assertive i...
Digital Geographies Working Group - citizen science - passive and assertive i...Muki Haklay
 
Pecha Kucha session: multi country science programs Ecsite 2018
Pecha Kucha session: multi country science programs Ecsite 2018Pecha Kucha session: multi country science programs Ecsite 2018
Pecha Kucha session: multi country science programs Ecsite 2018Muki Haklay
 
Open Science and Citizen Science - researcher, participants, and institutiona...
Open Science and Citizen Science - researcher, participants, and institutiona...Open Science and Citizen Science - researcher, participants, and institutiona...
Open Science and Citizen Science - researcher, participants, and institutiona...Muki Haklay
 
Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...
Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...
Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...Muki Haklay
 
The role of learning in citizen science
The role of learning in citizen scienceThe role of learning in citizen science
The role of learning in citizen scienceMuki Haklay
 
The Willing Volunteer – Incorporating Voluntary Data into National Databases
The Willing Volunteer – Incorporating Voluntary Data into National DatabasesThe Willing Volunteer – Incorporating Voluntary Data into National Databases
The Willing Volunteer – Incorporating Voluntary Data into National DatabasesMuki Haklay
 
Examining the values that are embedded in the processes and technologies of p...
Examining the values that are embedded in the processes and technologies of p...Examining the values that are embedded in the processes and technologies of p...
Examining the values that are embedded in the processes and technologies of p...Muki Haklay
 
Into the Night - Technology for citizen science
Into the Night - Technology for citizen scienceInto the Night - Technology for citizen science
Into the Night - Technology for citizen scienceMuki Haklay
 
Into the Night - Citizen Science Training day - introduction to citizen science
Into the Night - Citizen Science Training day - introduction to citizen scienceInto the Night - Citizen Science Training day - introduction to citizen science
Into the Night - Citizen Science Training day - introduction to citizen scienceMuki Haklay
 

Mehr von Muki Haklay (20)

Devising a citizen science monitoring programme for tree regeneration the upl...
Devising a citizen science monitoring programme for tree regeneration the upl...Devising a citizen science monitoring programme for tree regeneration the upl...
Devising a citizen science monitoring programme for tree regeneration the upl...
 
The value of citizen science for environmental monitoring in Scotland
The value of citizen science for environmental monitoring in ScotlandThe value of citizen science for environmental monitoring in Scotland
The value of citizen science for environmental monitoring in Scotland
 
citizen science - a brief introduction
citizen science - a brief introduction citizen science - a brief introduction
citizen science - a brief introduction
 
Citizen Science as a tool to support land management in the Cairngorms Nation...
Citizen Science as a tool to support land management in the Cairngorms Nation...Citizen Science as a tool to support land management in the Cairngorms Nation...
Citizen Science as a tool to support land management in the Cairngorms Nation...
 
Citizen science characteristics webinar
Citizen science characteristics webinarCitizen science characteristics webinar
Citizen science characteristics webinar
 
Platforms for Citizen Science - ExCiteS experience
Platforms for Citizen Science - ExCiteS experiencePlatforms for Citizen Science - ExCiteS experience
Platforms for Citizen Science - ExCiteS experience
 
Citizen science in different project
Citizen science in different project Citizen science in different project
Citizen science in different project
 
Citizen Science in Open Science context: measuring & understanding impacts of...
Citizen Science in Open Science context: measuring & understanding impacts of...Citizen Science in Open Science context: measuring & understanding impacts of...
Citizen Science in Open Science context: measuring & understanding impacts of...
 
Extreme Citizen Science technologies: attempting to embed values in code
Extreme Citizen Science technologies: attempting to embed values in codeExtreme Citizen Science technologies: attempting to embed values in code
Extreme Citizen Science technologies: attempting to embed values in code
 
The role of learning in community science and citizen science
The role of learning in community science and citizen scienceThe role of learning in community science and citizen science
The role of learning in community science and citizen science
 
The persistent environmental digital divide(s) -RGS-IBG 2018
The persistent environmental digital divide(s) -RGS-IBG 2018The persistent environmental digital divide(s) -RGS-IBG 2018
The persistent environmental digital divide(s) -RGS-IBG 2018
 
Digital Geographies Working Group - citizen science - passive and assertive i...
Digital Geographies Working Group - citizen science - passive and assertive i...Digital Geographies Working Group - citizen science - passive and assertive i...
Digital Geographies Working Group - citizen science - passive and assertive i...
 
Pecha Kucha session: multi country science programs Ecsite 2018
Pecha Kucha session: multi country science programs Ecsite 2018Pecha Kucha session: multi country science programs Ecsite 2018
Pecha Kucha session: multi country science programs Ecsite 2018
 
Open Science and Citizen Science - researcher, participants, and institutiona...
Open Science and Citizen Science - researcher, participants, and institutiona...Open Science and Citizen Science - researcher, participants, and institutiona...
Open Science and Citizen Science - researcher, participants, and institutiona...
 
Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...
Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...
Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...
 
The role of learning in citizen science
The role of learning in citizen scienceThe role of learning in citizen science
The role of learning in citizen science
 
The Willing Volunteer – Incorporating Voluntary Data into National Databases
The Willing Volunteer – Incorporating Voluntary Data into National DatabasesThe Willing Volunteer – Incorporating Voluntary Data into National Databases
The Willing Volunteer – Incorporating Voluntary Data into National Databases
 
Examining the values that are embedded in the processes and technologies of p...
Examining the values that are embedded in the processes and technologies of p...Examining the values that are embedded in the processes and technologies of p...
Examining the values that are embedded in the processes and technologies of p...
 
Into the Night - Technology for citizen science
Into the Night - Technology for citizen scienceInto the Night - Technology for citizen science
Into the Night - Technology for citizen science
 
Into the Night - Citizen Science Training day - introduction to citizen science
Into the Night - Citizen Science Training day - introduction to citizen scienceInto the Night - Citizen Science Training day - introduction to citizen science
Into the Night - Citizen Science Training day - introduction to citizen science
 

Kürzlich hochgeladen

Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 

Kürzlich hochgeladen (20)

Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 

Beyond good enough? Spatial Data Quality and OpenStreetMap data

  • 1. Beyond good enough? Spatial Data Quality and OpenStreetMap data Dr Muki Haklay Department of Civil, Environmental and Geomatic Engineering, UCL m.haklay@ucl.ac.uk With contributions from AamerAther (M.Eng 2009) and NaureenZulfiqar (M.Eng 2008) Ordnance Survey data was kindly provided by the Ordnance Survey research unit. OSM data was provided by GeoFabrik & CloudMade
  • 2. Outline Understanding quality of geographical information Evaluation of OSM with Meridian data set Evaluation of OSM with MasterMap What does it all means?
  • 3. The quality issue How good it the data? First question: good for what? Subjective quality – fitness for purpose/use Second question: how to measure? Objective quality – but need to evaluate it in light of the first question
  • 4. The quality issue How good it the data? Positional accuracy – the position of features or geographic objects in either two or three dimensions Temporal accuracy – how up to date is the data? Does it presents the existing situation and when will it be updated? Thematic/attribute accuracy – for quantitative attributes (width) and qualitative attributes (geographic names) Completeness – The presence and absence of objects in a dataset at a particular point in time Logical consistency –adherence to the logical rules of the data structure, attribution and relationships
  • 5. The ‘problem’ We know little about the people that collect it, their skills, knowledge or patterns of data collection Loose coordination and no top-down quality assurance processes – can’t produce good data It is not complete and comprehensive – there are white areas
  • 7. Who collects? (c) Dair Grant (cc) Shaun McDonald (cc) Chris Fleming
  • 9.
  • 10. Users Participation inequality – small group of users collect most of the information, lots of users collect very little Little ‘on the ground’ collaboration. Important as this is can be the main source of quality assurance - ‘Given enough eyeballs, all bugs are shallow’ (Raymond, 2001) But does Linus’ law apply to OSM?!?
  • 11. Accuracy and Completeness- Study I Comparing OSM to OS Meridian 2 roads layer Maridian 2 -Motorways, major and minor roads are... Complex junctions are collapsed to single nodes and multi-carriageways to single links... some minor roads and cul-de-sacs less than 200m are not represented... Private roads and tracks are not included... Nodes are derived from 1:1,250-1:2,500 mapping, with 20m filter around centre line generalisation
  • 12. Positional Accuracy A B Meridian 2 and OSM – Motorway comparison
  • 13. Goodchild and Hunter (1997), Hunter (1999) method Assuming that one dataset is of higher quality Create buffer around the dataset with known width Calculate the percentage of the evaluated dataset that falls within the buffer
  • 14. Motorway comparison Buffer of 20m Average of 80% - ranging from 59.81% to 88.80%
  • 16. Positional accuracy On each tile, 100 points sample with evaluation of distance between OSM and Meridian 2 Can see significant variability: from about 3m to over 8m
  • 17. Completeness – bulk method Assumption: as Meridian 2 is generalised, for each completed sq km: Total length(OSM roads)>Total length(Meridian 2 roads) Dividing England to 1km grid squares, and running a comparison for each cell
  • 18.
  • 22. Length comparison For 29.3% of the area of England, OSM is getting nearer completion and as good as Meridian 2 (March 2008). Estimated at %45-50 today. When adding to this attributes, the percentage drops to 24.5% (March 2008). Estimated %35 today. Centres of major cities are well mapped.
  • 23. Completeness - visual comparison
  • 26. Comparison II – Ordnance Survey Master Map Data used for comparison: OS MasterMap Integrated Transport Network (ITN) layer ITN consists of road network information The most accurate and up-to-date geographic reference for Great Britain’s road structure Any major real world changes are updated within 6 months Used for numerous applications e.g. Transport management systems, road routing, emergency planning...
  • 27. Four test locations chosen: TQ28se TQ38se TQ17ne TQ37sw
  • 28. Buffer analysis – again based on Goodchild and Hunter (1997) buffer comparison technique: Buffer width (X): X ITN OSM Comparison methodology
  • 29. Buffer overlap results: 109 roads examined covering over 328 km Results of Master Map comparison
  • 30. TQ38se (East London) TQ28se (North/Central London)
  • 31. TQ37sw (South London) TQ17ne (West London)
  • 32.
  • 33.
  • 34.
  • 35. Quality not linked to length
  • 36. What does it mean? OSM is better than Meridian 2 in terms of positional accuracy, and less accurate than MasterMap The differences that were found in comparison I are a mix of the positional inaccuracies of both Meridian 2 and OSM. The higher overlap with MasterMap tells us that OSM was the more accurate of the two...
  • 38. What are they paying for? Meridian is officially not complete, clearly not accurate in terms of position, and without clear ‘6 month of major changes update’ rule Hypothesis: When people buy geodata, they pay for the errors, or the notion that the errors are well known and quantified. Are they?
  • 39. Putting a price tag on OSM ? 1 seat of Meridian 2 for England - £1272 OSM is 35% complete (positional and attribute) ... ... But higher positional accuracy than Meridian 2 So maybe £500 per seat? If so, each Sq Km of OSM is worth about 40p or 0.5€ .
  • 40. Linus’ law and OSM – inconclusive
  • 41. So should I use OSM? OSM is fit for many purposes to which Meridian 2 is suitable Positional accuracy is satisfactory for many applications. Attribute accuracy is also satisfactory. Completeness in major urban area is satisfactory – and if the work is at a specific location, it is easy to improve and complete the dataset
  • 42. Conclusions OSM quality is beyond good enough, it is a product that can be used for a wide range of activities Better quality proxies, can be developed (for example, by user) Quality procedures should also developed with passive sensing from mobile devices More work is required on Linus’ Law
  • 43. Further reading Haklay, M., 2008, How good is OpenStreetMap information? A comparative study of OpenStreetMap and Ordnance Survey datasets for London and the rest of England, submitted to Environment and Planning B. Haklay, M. And Weber, P., 2008, OpenStreetMap – User Generated Street Map, IEEE Pervasive Computing. Haklay, M., Singleton, A., and Parker, C., 2008, Web mapping 2.0: the Neogeography of the Geoweb, Geography Compass Haklay, M., 2008, Open Knowledge – learning from environmental information, presented at the Open Knowledge Conference (OKCon) 2008, London, 15 March. Haklay, M., 2007, OSM and the public - what barriers need to be crossed?presented at State of the Map conference, Manchester, UK, 14-15 July. To get a copy, write to m.haklay@ucl.ac.uk , or get them on povesham.wordpress.com

Hinweis der Redaktion

  1. The Athenian metaphor goes even further. You also need to be a male, healthy, in your 20 or 30 and wealthy in order to participate in the fun.
  2. The higher level dataset to be used was OS MasterMap. The Ordnance Survey’s MasterMap is a database that records every fixed feature of Great Britain larger than a few metres in one continuous digital map – It is a framework on which future OS products will be based The ITN layer is one of four layers, and the layer used for this project. ITN obtained from Edina, OSM for CloudeMadeITN data obtained in GML format, which was then converted to shp file format, and the required OSM downloaded as shp file.
  3. - 25km square grid , based on OS 1:10000 grid tilesThe tiles were chosen to cover a range of London, North, South, East & West, two close and two further out from the centre, so that a good sample was chosen
  4. Requires the use of a reference source (ITN) and a test source (OSM)Here we have an example of an ITN and corresponding OSM road feature.ITN is the higher level dataset, and therefore the ITN road feature is considered to be the actual centreline of the road. A buffer of width x is created around the ITN featureThe proportion of the OSM road that lies that lies within the buffer is then calculatedThis analysis carried out for every A-road, B-road and motorway feature in the datasets
  5. The results are very high, indicating that the positional accuracy of OSM is very good.In particular, the South London tile had an average of 92.62% overlap for A-roads, and North/Central London tile had 81.46% overlap for B-roads.Only one motorway segment (very high)
  6. - Results maps for each of the four test regions- The distribution of results in the histogram is clearly illustrated by the results maps. Anything above 90% overlap in red, between 80-90% in orange, and between 70-80% in yellow.
  7. First diagram:The trend line in the scatter diagram shows a slight positive trend indicating the that as the number of users increase so does the road name attribute completeness This is certainly the case for any grid square constituting more than 25 users, where the road name attribute completeness was no less than 60% with most results between 80-100%. However, the spread of results are very varied for all the grid squares with less than 20 users; in fact removing all results above 20 users would produce no correlation the vast majority of results appear to lie between 60-100% road name attribute completeness, and are therefore all good results. the user analysis research carried by Dr Haklay found 89.5% of the whole of England covered by 3 or less users. Considering my results showed no grid squares as having less than 5 users, it is fair to say that these results are not a true reflection of the majority of England, with all my results being covered by more users than normal This probably explains why the attribute completeness was generally quite highSecond Diagram:There is no positive or negative trend here, and all that the results really shows is that positional accuracy is very high regardless of the number of users. This is probably due to a number of reasons. Firstly, it only takes a single user to achieve very high positional accuracy depending on the GPS equipment used and the nature of data collection. Secondly, unlikely that users in same regions set out to measure features already mapped in OSM