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Geospatial Science 
Nottingham Geospatial Institute 
Jeremy Morley 
Theme Leader 
jeremy.morley@nottingham.ac.uk
NGI: Geospatial Science 
 Spatial Data Infrastructures (SDI) 
 Geospatial Analysis and Analytics 
 Openness and Interoperability 
 Location Based Services (LBS) 
 Geosemantics, Language and Cognition 
 Geoinformatics and Data Modelling 
 3D GIS 
 Crowd-sourcing & Geosp. Data Quality 
 Planetary 
 AgriGIS
ottingham 
eospatial 
nstitute 
N 
G 
I 
Xuelin He 
Example PhD projects 
– Exchangeable geoweb services & push services 
Emily Webber 
– Strategies in navigational device use and their effects on 
environmental learning 
Julian Rosser 
– Crowd-sourcing of 3D building interiors 
Mark Iliffe 
– Engaging communities in the developing world for 
mapping and improvements to water supplies 
Abdur Rahman 
– Attitudes to sharing using check-ins and geotags 
James Sprinks 
– How far can crowd-sourcing be pushed for identifying 
geological features of Mars?
Current Activities 
 OGC: Board + Technical Committee; IndoorGML ViceChair 
 EuroSDR: UK National Academic Rep., Chair Commission V 
 AGILE: Chair 
 GEOSS Science and Technology Committee (STC). 
 Association of Chief Police Officers (ACPO): GI Board 
 UK Location Progrm. (Interoperability Board,) User Group 
 Oracle Spatial Centre of Excellence: 1 of 3 globally 
 UK-Environmental Observation Framework Data Advisory 
Group (UK-EOF DAG) 
 FOSS4G 2013: Conference hosts, co-chair, team members 
 ICA: Chair, Commission on Open Source Geospatial Tech. 
 AGILE/EuroSDR/OGC: 
Persistent Interoperability Test-bed initiators
OPEN SOURCE GIS 
GEOWEB 
(Mashups, Web 2.0, OSM) 
SDI / TRADITIONAL GIS 
OGC / ISO – 
STANDARDISATION 
POLES APART? 
UK OPEN DATA 
(Linked data)
Mathare 
Mark Iliffe, 
Horizon DTC Phd student 
(c) OpenStreetMap contributors, CC-BY-SA
Taarifa.org 
Introducing #Taarifa
Problem 
•52% of Water points in Tanzania are non-functional. 
•30% population coverage. 
1 toilet to 93 people in the Tandale slum 
•Build new infrastructure as well as maintaining and 
fixing broken infrastructure. 
•Support existing water users, suppliers and 
maintainers. 
“The problem we are trying to solve is that 
the technology we design is difficult for our 
users to use and access.” Steven Feldman
Task 2.5:Natural Language Discovery and 
Query Interface 
• motivation: intuitive natural language query 
query using Natural Semantic Metalanguage (NSM) – restricted natural language 
• aim: discovery of geographic resources 
using natural language based on the user’s perspective, without specialist knowledge 
• means: multilingual natural language web application 
web front end and WPS to process users’ queries 
Kristin Stock, Claudia Cialone, Ronald Ranjit, Amir Pourabdollah
How does it work? 
• User interface: 
– allows user input combining: 
• natural language using Natural Semantic Metalanguage (NSM) 
to describe the spatial query and 
• ontology concepts for geographic features, 
– is supported by an OWL ontology. 
– formulates WPS request. 
• WPS: 
– gets resources that are semantically related to the selected ontology concepts 
– converts NSM user request to Prolog 
– runs request against a prolog knowledgebase to identify which spatial relation it 
describes 
– performs spatial query on semantically related resources 
– ranks resources and returns them to user interface 
• User interface displays resources
INDOOR / OUTDOOR
City modelling technology 
 Photogrammetry 
 Laser scanning (LiDAR) 
 Structure-from-motion (Photosynth) 
 CAD / construction models 
 Building modelling tools (Sketchup) 
 Architectural design tools 
 Streetview? Panoramas? Video walkthru? 
 Games environments
Taken from OGC CityGML 1.0 standard
http://www.iai-tech. 
org/ifc/IFC2x3/T 
C1/html/index.htm
Crowdsourcing building 
interior models 
Julian Rosser 
 Interior data important for many areas 
– Not often available 
– Not easy to capture or maintain 
 Public and private spaces require modelling 
– User control of data 
– Users understand accessibility 
 Can building models be crowdsourced? 
– Dynamic (frequent) resurvey 
– Resident-generated GIS (Talen, 1999). 
 Need geometry, semantics, texture, 
landmarks 
http://www-video.eecs.berkeley.edu/research/indoor/ 
http://sketchup.google.com/3dwh/buildingmaker.html
Research questions 
Julian Rosser 
 How can volunteered data be best elicited from users in order to 
model 3D building interiors? 
– Can mobile devices provide a platform for capture and update 
of building interior data? 
 Simple & accessible 
– How can 3D GIS store and validate (topologically correct) 
building interiors? 
 Disparate, incomplete, optimal models 
 CityGML vs BIM vs ? 
– What is the role of volunteered building models in aiding 
emergency management and disaster response? 
 Need public & private models 
 Supplement / validate remotely sensed data
Indoor / Outdoor integration 
 Still, many indoor solutions are separate 
from the city model 
 How do we manage possible quite 
inaccurate indoor models in the outside 
building shell? 
 How do we connect path & space from 
outdoors in?
IndoorGML (OGC)
Crowd-sourcing vernacular 
geography 
Julian Rosser, 
Jeremy Morley 
Rate-My-Place Facebook app 
Fuzzy zones (vs Flickr alpha shape)
Finding pauses in verbal route descriptions, by males & females 
m 
Tokunbo Olorundami, Jeremy Morley, Svenja Adolphs
NGI: Geospatial Science 
 Spatial Data Infrastructures (SDI) 
 Geospatial Analysis and Analytics 
 Openness and Interoperability 
 Location Based Services (LBS) 
 Geosemantics, Language and Cognition 
 Geoinformatics and Data Modelling 
 3D GIS 
 UGSC / VGI / Geospatial Data Quality 
 Planetary 
 AgriGIS
ottingham 
eospatial 
nstitute 
N 
G 
I 
Current & recent projects 
• JISC – ELOGeo & follow-on 
• 1Spatial – OSM-GB 
• FP7 – THE ISSUE 
• MoD/DSTL – AGIS 
• GEM – IDCT 
• BBSRC – GRASP (to recruit) 
• FP7 – PRoVIDE (starting Jan 2013 – recruiting ~March ‘13) 
• FP7 – COBWEB (Citizen Observatory Web) 
• OS – Future Data 
• FP7 – PRoVisG 
• FP7 – EuroGEOSS 
• FP7 – e-SOTER 
• Transport iNet – ECO-TRAX 
• EPSRC – TPM 
• TSB - SWIMA
• Crowd sourcing / VGI 
• Pervasive computing 
• Semantics & linguistic analysis 
• Spatial data HCI, visualisation, presentation 
technologies 
• 3D city & building modelling: indoor & out 
• Open source geo software & open geo data 
• Geospatial databases, search + data mining 
• Positioning and tracking technologies 
• Sensor-web technologies

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University of Nottingham - NGI Geospatial Science Example Activities

  • 1. Geospatial Science Nottingham Geospatial Institute Jeremy Morley Theme Leader jeremy.morley@nottingham.ac.uk
  • 2. NGI: Geospatial Science  Spatial Data Infrastructures (SDI)  Geospatial Analysis and Analytics  Openness and Interoperability  Location Based Services (LBS)  Geosemantics, Language and Cognition  Geoinformatics and Data Modelling  3D GIS  Crowd-sourcing & Geosp. Data Quality  Planetary  AgriGIS
  • 3. ottingham eospatial nstitute N G I Xuelin He Example PhD projects – Exchangeable geoweb services & push services Emily Webber – Strategies in navigational device use and their effects on environmental learning Julian Rosser – Crowd-sourcing of 3D building interiors Mark Iliffe – Engaging communities in the developing world for mapping and improvements to water supplies Abdur Rahman – Attitudes to sharing using check-ins and geotags James Sprinks – How far can crowd-sourcing be pushed for identifying geological features of Mars?
  • 4. Current Activities  OGC: Board + Technical Committee; IndoorGML ViceChair  EuroSDR: UK National Academic Rep., Chair Commission V  AGILE: Chair  GEOSS Science and Technology Committee (STC).  Association of Chief Police Officers (ACPO): GI Board  UK Location Progrm. (Interoperability Board,) User Group  Oracle Spatial Centre of Excellence: 1 of 3 globally  UK-Environmental Observation Framework Data Advisory Group (UK-EOF DAG)  FOSS4G 2013: Conference hosts, co-chair, team members  ICA: Chair, Commission on Open Source Geospatial Tech.  AGILE/EuroSDR/OGC: Persistent Interoperability Test-bed initiators
  • 5. OPEN SOURCE GIS GEOWEB (Mashups, Web 2.0, OSM) SDI / TRADITIONAL GIS OGC / ISO – STANDARDISATION POLES APART? UK OPEN DATA (Linked data)
  • 6.
  • 7. Mathare Mark Iliffe, Horizon DTC Phd student (c) OpenStreetMap contributors, CC-BY-SA
  • 9. Problem •52% of Water points in Tanzania are non-functional. •30% population coverage. 1 toilet to 93 people in the Tandale slum •Build new infrastructure as well as maintaining and fixing broken infrastructure. •Support existing water users, suppliers and maintainers. “The problem we are trying to solve is that the technology we design is difficult for our users to use and access.” Steven Feldman
  • 10.
  • 11.
  • 12. Task 2.5:Natural Language Discovery and Query Interface • motivation: intuitive natural language query query using Natural Semantic Metalanguage (NSM) – restricted natural language • aim: discovery of geographic resources using natural language based on the user’s perspective, without specialist knowledge • means: multilingual natural language web application web front end and WPS to process users’ queries Kristin Stock, Claudia Cialone, Ronald Ranjit, Amir Pourabdollah
  • 13. How does it work? • User interface: – allows user input combining: • natural language using Natural Semantic Metalanguage (NSM) to describe the spatial query and • ontology concepts for geographic features, – is supported by an OWL ontology. – formulates WPS request. • WPS: – gets resources that are semantically related to the selected ontology concepts – converts NSM user request to Prolog – runs request against a prolog knowledgebase to identify which spatial relation it describes – performs spatial query on semantically related resources – ranks resources and returns them to user interface • User interface displays resources
  • 14.
  • 16. City modelling technology  Photogrammetry  Laser scanning (LiDAR)  Structure-from-motion (Photosynth)  CAD / construction models  Building modelling tools (Sketchup)  Architectural design tools  Streetview? Panoramas? Video walkthru?  Games environments
  • 17. Taken from OGC CityGML 1.0 standard
  • 19. Crowdsourcing building interior models Julian Rosser  Interior data important for many areas – Not often available – Not easy to capture or maintain  Public and private spaces require modelling – User control of data – Users understand accessibility  Can building models be crowdsourced? – Dynamic (frequent) resurvey – Resident-generated GIS (Talen, 1999).  Need geometry, semantics, texture, landmarks http://www-video.eecs.berkeley.edu/research/indoor/ http://sketchup.google.com/3dwh/buildingmaker.html
  • 20. Research questions Julian Rosser  How can volunteered data be best elicited from users in order to model 3D building interiors? – Can mobile devices provide a platform for capture and update of building interior data?  Simple & accessible – How can 3D GIS store and validate (topologically correct) building interiors?  Disparate, incomplete, optimal models  CityGML vs BIM vs ? – What is the role of volunteered building models in aiding emergency management and disaster response?  Need public & private models  Supplement / validate remotely sensed data
  • 21. Indoor / Outdoor integration  Still, many indoor solutions are separate from the city model  How do we manage possible quite inaccurate indoor models in the outside building shell?  How do we connect path & space from outdoors in?
  • 23.
  • 24. Crowd-sourcing vernacular geography Julian Rosser, Jeremy Morley Rate-My-Place Facebook app Fuzzy zones (vs Flickr alpha shape)
  • 25. Finding pauses in verbal route descriptions, by males & females m Tokunbo Olorundami, Jeremy Morley, Svenja Adolphs
  • 26. NGI: Geospatial Science  Spatial Data Infrastructures (SDI)  Geospatial Analysis and Analytics  Openness and Interoperability  Location Based Services (LBS)  Geosemantics, Language and Cognition  Geoinformatics and Data Modelling  3D GIS  UGSC / VGI / Geospatial Data Quality  Planetary  AgriGIS
  • 27.
  • 28. ottingham eospatial nstitute N G I Current & recent projects • JISC – ELOGeo & follow-on • 1Spatial – OSM-GB • FP7 – THE ISSUE • MoD/DSTL – AGIS • GEM – IDCT • BBSRC – GRASP (to recruit) • FP7 – PRoVIDE (starting Jan 2013 – recruiting ~March ‘13) • FP7 – COBWEB (Citizen Observatory Web) • OS – Future Data • FP7 – PRoVisG • FP7 – EuroGEOSS • FP7 – e-SOTER • Transport iNet – ECO-TRAX • EPSRC – TPM • TSB - SWIMA
  • 29. • Crowd sourcing / VGI • Pervasive computing • Semantics & linguistic analysis • Spatial data HCI, visualisation, presentation technologies • 3D city & building modelling: indoor & out • Open source geo software & open geo data • Geospatial databases, search + data mining • Positioning and tracking technologies • Sensor-web technologies