SlideShare ist ein Scribd-Unternehmen logo
1 von 46
Using PostGIS to add some spatial flavor to your applications  Steven Citron-Pousty Developer Evangelist  deCarta
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Assumptions about you ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
What is PostGIS ,[object Object],[object Object],[object Object]
Competitive Offerings ,[object Object],[object Object],[object Object],[object Object],[object Object]
Installing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other Steps ,[object Object],[object Object],[object Object]
Two more things you need to understand Almost there – I promise
 
Shapefiles when is a file not a file
Projections and Datums
 
More Projection Goodness ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Projecting using ogr2ogr ,[object Object],[object Object],[object Object]
Now let’s make some SQL ,[object Object],[object Object],[object Object]
Y’all know what to do with SQL ,[object Object],[object Object]
 
Let’s get this party started ,[object Object],[object Object],[object Object],WTF!
Well Known Text (WKT) ,[object Object],[object Object],[object Object],[object Object]
Lesson Learned ,[object Object],[object Object],[object Object],SELECT asKML(the_geom) FROM  watercourses WHERE gid = 17;
<MultiGeometry> <Polygon> <outerBoundaryIs> <LinearRing> <coordinates>-118.90476592 907,35.4477387779291  -118.904082378315,35.4465853812531  -118.904745088997,35.447 2133838697  -118.90476592907,35.4477387779291</coordinates> </LinearRing> </outerBoundaryIs> </Polygon> </MultiGeometry>
Inserting a new record ,[object Object],INSERT INTO firestations(station_na, the_geom) VALUES('Best LittleFire House in CA', ST_SetSRID(ST_MakePoint(-119.5, 34.5), 4326) );
Select using the geometry
 
Distance  ,[object Object],SELECT gid FROM waterbodies WHERE  ST_DWithin('SRID=4326;POINT (-119.103762382096 35.4122898449297)',  the_geom, 0.005);   gid -----   4   5   6   7   8
Let’s find all the parcels in Agricultural Zones SELECT p.gid FROM parcels AS p,  zoning AS z WHERE z.comb_zn  LIKE 'A%' AND  ST_Within(p.the_geom, z.the_geom);
Do something with the geometry after selection
 
Calculating Area SELECT  sum(ST_Area(z.the_geom))  FROM zoning AS z WHERE z.comb_zn LIKE 'NR%'; sum -------------------- 0.0131834159551545
Turn polygons into points SELECT gid,  asText(ST_Centroid(the_geom))  FROM waterbodies WHERE gid = 124; gid |  geometry -----+------------------------------------------- 124 | POINT(-118.427120958287 35.6702299014044) SELECT gid,  asText(ST_PointOnSurface(the_geom))  FROM waterbodies WHERE gid = 124; gid |  geometry -----+------------------------------------------- 124 | POINT(-118.449967685908 35.6911672413056)
Create new tables using a select CREATE TABLE biglake WITH OIDS AS SELECT gid, the_geom FROM waterbodies WHERE gid = 124; SELECT  ST_AREA(the_geom)  FROM biglake; st_area --------------------- 0.00313986591299908
Buffering
Some SQL to buffer SELECT  ST_Area(ST_Buffer(the_geom, 0.1))  FROM biglake; st_area -------------------- 0.0718529848413709 Remember that is used to be 0.003
 
Spatial Operators
Clip to the bounding box SELECT gid,  ST_Intersection(the_geom, 'SRID=4326;MULTIPOLYGON((( -119.5 35.0, -119.0 35.0, -119.0 35.5, -119.5 35.5, -119.5 35.0)))')   FROM watercourses WHERE  ST_Intersects(the_geom,  'SRID=4326;MULTIPOLYGON((( -119.5 35.0, -119.0 35.0, -119.0 35.5, -119.5 35.5, -119.5 35.0)))');
Simplifying geometries ,[object Object],[object Object],[object Object]
Select  ST_NPoints(the_geom)  FROM  watercourses WHERE gid IN (12, 14, 17); st_npoints ------------ 265 68 48
SELECT  ST_NPoints(ST_Simplify(the_geom, 0.00001))  FROM watercourses WHERE gid IN (12, 14, 17); st_npoints ------------ 65 19 18
SELECT  ST_NPoints(ST_Simplify(the_geom, 0.0001))  FROM watercourses WHERE gid IN (12, 14, 17); st_npoints ------------ 18 6 7
So how do you bring this together in an app ,[object Object],[object Object],[object Object]
Where do you go now - PostGIS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Where to get Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Map API to use ,[object Object],[object Object],[object Object],[object Object]
 

Weitere ähnliche Inhalte

Was ist angesagt?

공간정보연구원 PostGIS 강의교재
공간정보연구원 PostGIS 강의교재공간정보연구원 PostGIS 강의교재
공간정보연구원 PostGIS 강의교재JungHwan Yun
 
Getting Started with PostGIS
Getting Started with PostGISGetting Started with PostGIS
Getting Started with PostGISEDB
 
Digital image processing
Digital image processingDigital image processing
Digital image processingVandana Verma
 
Gps presentation
Gps presentationGps presentation
Gps presentationpavimalpani
 
Introduction to gps [compatibility mode]
Introduction to gps [compatibility mode]Introduction to gps [compatibility mode]
Introduction to gps [compatibility mode]Sumanta Das
 
GIS for Transportation Infrastructure Management
GIS for Transportation Infrastructure ManagementGIS for Transportation Infrastructure Management
GIS for Transportation Infrastructure ManagementEsri
 
PostGIS - National Education Center for GIS: Open Source GIS
PostGIS - National Education Center for GIS: Open Source GIS PostGIS - National Education Center for GIS: Open Source GIS
PostGIS - National Education Center for GIS: Open Source GIS MinPa Lee
 
Introduction to GPS
Introduction to GPSIntroduction to GPS
Introduction to GPSDaniel Kim
 
공간SQL을 이용한 공간자료분석 기초실습
공간SQL을 이용한 공간자료분석 기초실습공간SQL을 이용한 공간자료분석 기초실습
공간SQL을 이용한 공간자료분석 기초실습BJ Jang
 
Supervised and unsupervised classification techniques for satellite imagery i...
Supervised and unsupervised classification techniques for satellite imagery i...Supervised and unsupervised classification techniques for satellite imagery i...
Supervised and unsupervised classification techniques for satellite imagery i...gaup_geo
 
NavigationLand & Marine Navigation using GNSS
NavigationLand & Marine Navigation using GNSSNavigationLand & Marine Navigation using GNSS
NavigationLand & Marine Navigation using GNSSsushantsawant13
 
기상과 공간정보기술(GIS)의만남
기상과 공간정보기술(GIS)의만남기상과 공간정보기술(GIS)의만남
기상과 공간정보기술(GIS)의만남SANGHEE SHIN
 
Introduction to gps and gnss
Introduction to gps and gnssIntroduction to gps and gnss
Introduction to gps and gnssVivek Srivastava
 
Microwave remote sensing
Microwave remote sensingMicrowave remote sensing
Microwave remote sensingRohit Kumar
 
NDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GIS
NDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GISNDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GIS
NDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GISNorth Dakota GIS Hub
 

Was ist angesagt? (20)

공간정보연구원 PostGIS 강의교재
공간정보연구원 PostGIS 강의교재공간정보연구원 PostGIS 강의교재
공간정보연구원 PostGIS 강의교재
 
Irnss
IrnssIrnss
Irnss
 
GPS in Geodesy
GPS in GeodesyGPS in Geodesy
GPS in Geodesy
 
Getting Started with PostGIS
Getting Started with PostGISGetting Started with PostGIS
Getting Started with PostGIS
 
Overview of Satellite Radar Altimetry
Overview of Satellite Radar AltimetryOverview of Satellite Radar Altimetry
Overview of Satellite Radar Altimetry
 
Digital image processing
Digital image processingDigital image processing
Digital image processing
 
Gps presentation
Gps presentationGps presentation
Gps presentation
 
Introduction to gps [compatibility mode]
Introduction to gps [compatibility mode]Introduction to gps [compatibility mode]
Introduction to gps [compatibility mode]
 
GIS for Transportation Infrastructure Management
GIS for Transportation Infrastructure ManagementGIS for Transportation Infrastructure Management
GIS for Transportation Infrastructure Management
 
Gnss data-processing
Gnss data-processingGnss data-processing
Gnss data-processing
 
PostGIS - National Education Center for GIS: Open Source GIS
PostGIS - National Education Center for GIS: Open Source GIS PostGIS - National Education Center for GIS: Open Source GIS
PostGIS - National Education Center for GIS: Open Source GIS
 
Introduction to GPS
Introduction to GPSIntroduction to GPS
Introduction to GPS
 
Gis
GisGis
Gis
 
공간SQL을 이용한 공간자료분석 기초실습
공간SQL을 이용한 공간자료분석 기초실습공간SQL을 이용한 공간자료분석 기초실습
공간SQL을 이용한 공간자료분석 기초실습
 
Supervised and unsupervised classification techniques for satellite imagery i...
Supervised and unsupervised classification techniques for satellite imagery i...Supervised and unsupervised classification techniques for satellite imagery i...
Supervised and unsupervised classification techniques for satellite imagery i...
 
NavigationLand & Marine Navigation using GNSS
NavigationLand & Marine Navigation using GNSSNavigationLand & Marine Navigation using GNSS
NavigationLand & Marine Navigation using GNSS
 
기상과 공간정보기술(GIS)의만남
기상과 공간정보기술(GIS)의만남기상과 공간정보기술(GIS)의만남
기상과 공간정보기술(GIS)의만남
 
Introduction to gps and gnss
Introduction to gps and gnssIntroduction to gps and gnss
Introduction to gps and gnss
 
Microwave remote sensing
Microwave remote sensingMicrowave remote sensing
Microwave remote sensing
 
NDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GIS
NDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GISNDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GIS
NDGeospatialSummit2019 - Drone Based Lidar and the Future of Survey/GIS
 

Ähnlich wie Using PostGIS To Add Some Spatial Flavor To Your Application

LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your AppLinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your AppSteven Pousty
 
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...Compuware
 
Aplicações 10x a 100x mais rápida com o postgre sql
Aplicações 10x a 100x mais rápida com o postgre sqlAplicações 10x a 100x mais rápida com o postgre sql
Aplicações 10x a 100x mais rápida com o postgre sqlFabio Telles Rodriguez
 
FOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRaster
FOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRasterFOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRaster
FOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRasterJorge Arevalo
 
Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...
Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...
Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...Citus Data
 
Introducing the Galileo PVT App:from Assisted GNSS to NeQuick model in Android
Introducing the Galileo PVT App:from Assisted GNSS to NeQuick model in AndroidIntroducing the Galileo PVT App:from Assisted GNSS to NeQuick model in Android
Introducing the Galileo PVT App:from Assisted GNSS to NeQuick model in AndroidThe European GNSS Agency (GSA)
 
ANEL GROUP - BIM Implementation
ANEL GROUP - BIM Implementation ANEL GROUP - BIM Implementation
ANEL GROUP - BIM Implementation Cesare Caoduro
 
Polardb percona-19
Polardb percona-19Polardb percona-19
Polardb percona-19宗志 陈
 
Hailey_Database_Performance_Made_Easy_through_Graphics.pdf
Hailey_Database_Performance_Made_Easy_through_Graphics.pdfHailey_Database_Performance_Made_Easy_through_Graphics.pdf
Hailey_Database_Performance_Made_Easy_through_Graphics.pdfcookie1969
 
LocationTech Projects
LocationTech ProjectsLocationTech Projects
LocationTech ProjectsJody Garnett
 
Scaling PostreSQL with Stado
Scaling PostreSQL with StadoScaling PostreSQL with Stado
Scaling PostreSQL with StadoJim Mlodgenski
 
Optimization based Chassis Design
Optimization based Chassis DesignOptimization based Chassis Design
Optimization based Chassis DesignAltair
 
Open Source Web Mapping Servers: Which horse for which course?
Open Source Web Mapping Servers: Which horse for which course?Open Source Web Mapping Servers: Which horse for which course?
Open Source Web Mapping Servers: Which horse for which course?antscott
 
Top 10 tips for Oracle performance
Top 10 tips for Oracle performanceTop 10 tips for Oracle performance
Top 10 tips for Oracle performanceGuy Harrison
 
[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke Hirama
[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke Hirama[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke Hirama
[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke HiramaInsight Technology, Inc.
 
Improving the performance of Odoo deployments
Improving the performance of Odoo deploymentsImproving the performance of Odoo deployments
Improving the performance of Odoo deploymentsOdoo
 
Oracle Basics and Architecture
Oracle Basics and ArchitectureOracle Basics and Architecture
Oracle Basics and ArchitectureSidney Chen
 

Ähnlich wie Using PostGIS To Add Some Spatial Flavor To Your Application (20)

LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your AppLinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
 
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...
Using Compuware Strobe to Save CPU: 4 Real-life Cases from the Files of CPT G...
 
Explain this!
Explain this!Explain this!
Explain this!
 
Aplicações 10x a 100x mais rápida com o postgre sql
Aplicações 10x a 100x mais rápida com o postgre sqlAplicações 10x a 100x mais rápida com o postgre sql
Aplicações 10x a 100x mais rápida com o postgre sql
 
FOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRaster
FOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRasterFOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRaster
FOSS4G 2010 PostGIS Raster: an Open Source alternative to Oracle GeoRaster
 
Spatial SQL
Spatial SQLSpatial SQL
Spatial SQL
 
Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...
Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...
Around the world with extensions | PostgreSQL Conference Europe 2018 | Craig ...
 
Introducing the Galileo PVT App:from Assisted GNSS to NeQuick model in Android
Introducing the Galileo PVT App:from Assisted GNSS to NeQuick model in AndroidIntroducing the Galileo PVT App:from Assisted GNSS to NeQuick model in Android
Introducing the Galileo PVT App:from Assisted GNSS to NeQuick model in Android
 
ANEL GROUP - BIM Implementation
ANEL GROUP - BIM Implementation ANEL GROUP - BIM Implementation
ANEL GROUP - BIM Implementation
 
Polardb percona-19
Polardb percona-19Polardb percona-19
Polardb percona-19
 
Geo django
Geo djangoGeo django
Geo django
 
Hailey_Database_Performance_Made_Easy_through_Graphics.pdf
Hailey_Database_Performance_Made_Easy_through_Graphics.pdfHailey_Database_Performance_Made_Easy_through_Graphics.pdf
Hailey_Database_Performance_Made_Easy_through_Graphics.pdf
 
LocationTech Projects
LocationTech ProjectsLocationTech Projects
LocationTech Projects
 
Scaling PostreSQL with Stado
Scaling PostreSQL with StadoScaling PostreSQL with Stado
Scaling PostreSQL with Stado
 
Optimization based Chassis Design
Optimization based Chassis DesignOptimization based Chassis Design
Optimization based Chassis Design
 
Open Source Web Mapping Servers: Which horse for which course?
Open Source Web Mapping Servers: Which horse for which course?Open Source Web Mapping Servers: Which horse for which course?
Open Source Web Mapping Servers: Which horse for which course?
 
Top 10 tips for Oracle performance
Top 10 tips for Oracle performanceTop 10 tips for Oracle performance
Top 10 tips for Oracle performance
 
[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke Hirama
[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke Hirama[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke Hirama
[D15] 最強にスケーラブルなカラムナーDBよ、Hadoopとのタッグでビッグデータの地平を目指せ!by Daisuke Hirama
 
Improving the performance of Odoo deployments
Improving the performance of Odoo deploymentsImproving the performance of Odoo deployments
Improving the performance of Odoo deployments
 
Oracle Basics and Architecture
Oracle Basics and ArchitectureOracle Basics and Architecture
Oracle Basics and Architecture
 

Mehr von Steven Pousty

APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + DockerAPPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + DockerSteven Pousty
 
Introduction to PaaS for application developers
Introduction to PaaS for application developersIntroduction to PaaS for application developers
Introduction to PaaS for application developersSteven Pousty
 
London Cloud Summit 2014 - raising the tide: getting developers in the cloud
London Cloud Summit 2014  - raising the tide: getting developers in the cloudLondon Cloud Summit 2014  - raising the tide: getting developers in the cloud
London Cloud Summit 2014 - raising the tide: getting developers in the cloudSteven Pousty
 
Workshop For pycon13
Workshop For pycon13Workshop For pycon13
Workshop For pycon13Steven Pousty
 
Build a PaaS with OpenShift Origin
Build a PaaS with OpenShift OriginBuild a PaaS with OpenShift Origin
Build a PaaS with OpenShift OriginSteven Pousty
 
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystemMonkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystemSteven Pousty
 
Spatial script for MongoBoulder
Spatial script for MongoBoulderSpatial script for MongoBoulder
Spatial script for MongoBoulderSteven Pousty
 
Spatial MongoDB, Node.JS, and Express - server-side JS for your application
Spatial MongoDB, Node.JS, and Express - server-side JS for your applicationSpatial MongoDB, Node.JS, and Express - server-side JS for your application
Spatial MongoDB, Node.JS, and Express - server-side JS for your applicationSteven Pousty
 
Spatial script for CIMA
Spatial script for CIMASpatial script for CIMA
Spatial script for CIMASteven Pousty
 
Spatial script for my JS.Everywhere 2012
Spatial script for my JS.Everywhere 2012Spatial script for my JS.Everywhere 2012
Spatial script for my JS.Everywhere 2012Steven Pousty
 
Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012
Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012
Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012Steven Pousty
 
Spatial script for Spatial mongo for PHP and Zend
Spatial script for Spatial mongo for PHP and ZendSpatial script for Spatial mongo for PHP and Zend
Spatial script for Spatial mongo for PHP and ZendSteven Pousty
 
Spatial mongo for PHP and Zend
Spatial mongo for PHP and ZendSpatial mongo for PHP and Zend
Spatial mongo for PHP and ZendSteven Pousty
 
Dropping Science on Your Developer Ecosystem - lessons from Ecosystem Management
Dropping Science on Your Developer Ecosystem - lessons from Ecosystem ManagementDropping Science on Your Developer Ecosystem - lessons from Ecosystem Management
Dropping Science on Your Developer Ecosystem - lessons from Ecosystem ManagementSteven Pousty
 
Open shift intro for Philly PUG
Open shift intro for Philly PUGOpen shift intro for Philly PUG
Open shift intro for Philly PUGSteven Pousty
 
Open shift intro for Philly PUG
Open shift intro for Philly PUGOpen shift intro for Philly PUG
Open shift intro for Philly PUGSteven Pousty
 
Script for the geomeetup presentation
Script for the geomeetup presentationScript for the geomeetup presentation
Script for the geomeetup presentationSteven Pousty
 
Openshift GeoSpatial Capabilities
Openshift GeoSpatial CapabilitiesOpenshift GeoSpatial Capabilities
Openshift GeoSpatial CapabilitiesSteven Pousty
 
MongoSF - Spatial MongoDB in OpenShift - script file
MongoSF - Spatial MongoDB in OpenShift - script fileMongoSF - Spatial MongoDB in OpenShift - script file
MongoSF - Spatial MongoDB in OpenShift - script fileSteven Pousty
 
Mongo sf spatialmongo
Mongo sf spatialmongoMongo sf spatialmongo
Mongo sf spatialmongoSteven Pousty
 

Mehr von Steven Pousty (20)

APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + DockerAPPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
 
Introduction to PaaS for application developers
Introduction to PaaS for application developersIntroduction to PaaS for application developers
Introduction to PaaS for application developers
 
London Cloud Summit 2014 - raising the tide: getting developers in the cloud
London Cloud Summit 2014  - raising the tide: getting developers in the cloudLondon Cloud Summit 2014  - raising the tide: getting developers in the cloud
London Cloud Summit 2014 - raising the tide: getting developers in the cloud
 
Workshop For pycon13
Workshop For pycon13Workshop For pycon13
Workshop For pycon13
 
Build a PaaS with OpenShift Origin
Build a PaaS with OpenShift OriginBuild a PaaS with OpenShift Origin
Build a PaaS with OpenShift Origin
 
Monkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystemMonkigras - dropping science on your developer ecosystem
Monkigras - dropping science on your developer ecosystem
 
Spatial script for MongoBoulder
Spatial script for MongoBoulderSpatial script for MongoBoulder
Spatial script for MongoBoulder
 
Spatial MongoDB, Node.JS, and Express - server-side JS for your application
Spatial MongoDB, Node.JS, and Express - server-side JS for your applicationSpatial MongoDB, Node.JS, and Express - server-side JS for your application
Spatial MongoDB, Node.JS, and Express - server-side JS for your application
 
Spatial script for CIMA
Spatial script for CIMASpatial script for CIMA
Spatial script for CIMA
 
Spatial script for my JS.Everywhere 2012
Spatial script for my JS.Everywhere 2012Spatial script for my JS.Everywhere 2012
Spatial script for my JS.Everywhere 2012
 
Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012
Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012
Spatial Mongo and Node.JS on Openshift JS.Everywhere 2012
 
Spatial script for Spatial mongo for PHP and Zend
Spatial script for Spatial mongo for PHP and ZendSpatial script for Spatial mongo for PHP and Zend
Spatial script for Spatial mongo for PHP and Zend
 
Spatial mongo for PHP and Zend
Spatial mongo for PHP and ZendSpatial mongo for PHP and Zend
Spatial mongo for PHP and Zend
 
Dropping Science on Your Developer Ecosystem - lessons from Ecosystem Management
Dropping Science on Your Developer Ecosystem - lessons from Ecosystem ManagementDropping Science on Your Developer Ecosystem - lessons from Ecosystem Management
Dropping Science on Your Developer Ecosystem - lessons from Ecosystem Management
 
Open shift intro for Philly PUG
Open shift intro for Philly PUGOpen shift intro for Philly PUG
Open shift intro for Philly PUG
 
Open shift intro for Philly PUG
Open shift intro for Philly PUGOpen shift intro for Philly PUG
Open shift intro for Philly PUG
 
Script for the geomeetup presentation
Script for the geomeetup presentationScript for the geomeetup presentation
Script for the geomeetup presentation
 
Openshift GeoSpatial Capabilities
Openshift GeoSpatial CapabilitiesOpenshift GeoSpatial Capabilities
Openshift GeoSpatial Capabilities
 
MongoSF - Spatial MongoDB in OpenShift - script file
MongoSF - Spatial MongoDB in OpenShift - script fileMongoSF - Spatial MongoDB in OpenShift - script file
MongoSF - Spatial MongoDB in OpenShift - script file
 
Mongo sf spatialmongo
Mongo sf spatialmongoMongo sf spatialmongo
Mongo sf spatialmongo
 

Kürzlich hochgeladen

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
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
 
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
 
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
 
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
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
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
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
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
 
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
 
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
 
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
 

Kürzlich hochgeladen (20)

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
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
 
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
 
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
 
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
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
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
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
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
 
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!
 
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
 
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
 

Using PostGIS To Add Some Spatial Flavor To Your Application

  • 1. Using PostGIS to add some spatial flavor to your applications Steven Citron-Pousty Developer Evangelist deCarta
  • 2.
  • 3.
  • 4.  
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Two more things you need to understand Almost there – I promise
  • 10.  
  • 11. Shapefiles when is a file not a file
  • 13.  
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.  
  • 19.
  • 20.
  • 21.
  • 22. <MultiGeometry> <Polygon> <outerBoundaryIs> <LinearRing> <coordinates>-118.90476592 907,35.4477387779291 -118.904082378315,35.4465853812531 -118.904745088997,35.447 2133838697 -118.90476592907,35.4477387779291</coordinates> </LinearRing> </outerBoundaryIs> </Polygon> </MultiGeometry>
  • 23.
  • 24. Select using the geometry
  • 25.  
  • 26.
  • 27. Let’s find all the parcels in Agricultural Zones SELECT p.gid FROM parcels AS p, zoning AS z WHERE z.comb_zn LIKE 'A%' AND ST_Within(p.the_geom, z.the_geom);
  • 28. Do something with the geometry after selection
  • 29.  
  • 30. Calculating Area SELECT sum(ST_Area(z.the_geom)) FROM zoning AS z WHERE z.comb_zn LIKE 'NR%'; sum -------------------- 0.0131834159551545
  • 31. Turn polygons into points SELECT gid, asText(ST_Centroid(the_geom)) FROM waterbodies WHERE gid = 124; gid | geometry -----+------------------------------------------- 124 | POINT(-118.427120958287 35.6702299014044) SELECT gid, asText(ST_PointOnSurface(the_geom)) FROM waterbodies WHERE gid = 124; gid | geometry -----+------------------------------------------- 124 | POINT(-118.449967685908 35.6911672413056)
  • 32. Create new tables using a select CREATE TABLE biglake WITH OIDS AS SELECT gid, the_geom FROM waterbodies WHERE gid = 124; SELECT ST_AREA(the_geom) FROM biglake; st_area --------------------- 0.00313986591299908
  • 34. Some SQL to buffer SELECT ST_Area(ST_Buffer(the_geom, 0.1)) FROM biglake; st_area -------------------- 0.0718529848413709 Remember that is used to be 0.003
  • 35.  
  • 37. Clip to the bounding box SELECT gid, ST_Intersection(the_geom, 'SRID=4326;MULTIPOLYGON((( -119.5 35.0, -119.0 35.0, -119.0 35.5, -119.5 35.5, -119.5 35.0)))') FROM watercourses WHERE ST_Intersects(the_geom, 'SRID=4326;MULTIPOLYGON((( -119.5 35.0, -119.0 35.0, -119.0 35.5, -119.5 35.5, -119.5 35.0)))');
  • 38.
  • 39. Select ST_NPoints(the_geom) FROM watercourses WHERE gid IN (12, 14, 17); st_npoints ------------ 265 68 48
  • 40. SELECT ST_NPoints(ST_Simplify(the_geom, 0.00001)) FROM watercourses WHERE gid IN (12, 14, 17); st_npoints ------------ 65 19 18
  • 41. SELECT ST_NPoints(ST_Simplify(the_geom, 0.0001)) FROM watercourses WHERE gid IN (12, 14, 17); st_npoints ------------ 18 6 7
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.