Python Geospatial Development
Erik. Westra
Bok Engelsk 2010 · Electronic books.
| Annen tittel | |
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| Utgitt | Birmingham : : Packt Publishing, , 2010.
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| Omfang | 1 online resource (508 p.)
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| Opplysninger | Description based upon print version of record.. - Cover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: Geo-Spatial Development Using Python; Python; Geo-spatial development; Applications of geo-spatial development; Analyzing geo-spatial data; Visualizing geo-spatial data; Creating a geo-spatial mash-up; Recent developments; Summary; Chapter 2:GIS; Core GIS concepts; Location; Distance; Units; Projections; Cylindrical projections; Conic projections; Azimuthal projections; The nature of map projections; Coordinate systems; Datums; Shapes; GIS data formats; Working with GIS data manually. - GEOnet Names ServerData format; Obtaining and using GEOnet Names Server data; GNIS; Data format; Obtaining and using GNIS data; Summary; Chapter 5:XWorking with Geo-Spatial Data in Python; Prerequisites; Reading and writing geo-spatial data; Task: Calculate the bounding box for each country in the world; Task: Save the country bounding boxes into a Shapefile; Task: Analyze height data using a digital elevation map; Changing datums and projections; Task: Change projections to combine Shapefiles using geographic and UTM coordinates. - Open source spatially-enabled databases. - OpenStreetMapData format; Obtaining and using OpenStreetMap data; TIGER; Data format; Obtaining and using TIGER data; Digital Chart of the World; Data format; Available layers; Obtaining and using DCW data; GSHHS; Data format; Obtaining the GSHHS database; World Borders Dataset; Data format; Obtaining the World Borders Dataset; Sources of geo-spatial data in raster format; Landsat; Data format; Obtaining Landsat imagery; GLOBE; Data format; Obtaining and using GLOBE data; National Elevation Dataset; Data format; Obtaining and using NED data; Sources of other types of geo-spatial data. - SummaryChapter 3:Python Libraries for Geo-Spatial Development; Reading and writing geo-spatial data; GDAL/OGR; GDAL design; GDAL example code; OGR design; OGR example code; Documentation; Availability; Dealing with projections; pyproj; Design; Proj; Geod; Example code; Documentation; Availability; Analyzing and manipulating geo-spatial data; Shapely; Design; Example code; Documentation; Availability; Visualizing geo-spatial data; Mapnik; Design; Example code; Documentation; Availability; Summary; Chapter 4:Sources of Geo-Spatial Data; Sources of geo-spatial data in vector format. - Task: Change datums to allow older and newer TIGER data to be combinedRepresenting and storing geo-spatial data; Task: Calculate the border between Thailand and Myanmar; Task: Save geometries into a text file; Working with Shapely geometries; Task: Identify parks in or near urban areas; Converting and standardizing units of geometry and distance; Task: Calculate the length of the Thai-Myanmar border; Task: Find a point 132.7 kilometers west of Soshone, California; Exercises; Summary; Chapter 6:GIS in the Database; Spatially-enabled databases; Spatial indexes. - Build a complete and sophisticated mapping application from scratch using Python tools for GIS development
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 9781849511544
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