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150716s2015 enka o 001 0 eng d |
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|a Westra, Erik,
|e author.
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245 |
1 |
0 |
|a Python geospatial analysis essentials :
|b process, analyze, and display geospatial data using Python libraries and related tools /
|c Erik Westra.
|
246 |
3 |
0 |
|a Process, analyze, and display geospatial data using Python libraries and related tools
|
264 |
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1 |
|a Birmingham, UK :
|b Packt Publishing,
|c 2015.
|
300 |
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|a 1 online resource (1 volume) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
|
338 |
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|a online resource
|b cr
|2 rdacarrier
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1 |
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|a Community experience distilled
|
588 |
0 |
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|a Online resource; title from cover (Safari, viewed July 6, 2015).
|
500 |
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|a Includes index.
|
505 |
0 |
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|a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Geospatial Analysis and Techniques; About geospatial analysis; Understanding geospatial data; Setting up your Python installation; Installing GDAL; Installing Shapely; Obtaining some geospatial data; Unlocking the shapefile; Analyzing the data; A program to identify neighboring countries; Summary; Chapter 2: Geospatial Data; Geospatial data quality; Types of geospatial data; Shapefiles; Well-known text; Well-known binary; Spatial databases; Geospatial microformats.
|
505 |
8 |
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|a GeoJSONGML; Digital elevation models; Raster basemaps; Multiband raster files; Sources of freely available geospatial data; Natural Earth Data; OpenStreetMap; US Census Bureau; World Borders Dataset; GLOBE; National Elevation Dataset; Reading and writing geospatial data using Python; Reading vector data; Writing vector data; Reading raster data; Writing raster data; Dealing with spatial reference systems; WGS84; Universal Transverse Mercator; Describing spatial reference systems; Transforming coordinates; Calculating lengths and areas; Geospatial data errors and how to fix them; Points.
|
505 |
8 |
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|a LineStringsLinear Rings; Polygons; MultiPolygons; Fixing invalid geometries; Summary; Chapter 3: Spatial Databases; Spatial database concepts; Installing a spatial database; Installing PostgreSQL; Installing PostGIS; Installing psycopg2; Accessing PostGIS from Python; Setting up a spatial database; Importing spatial data; Querying spatial data; Manipulating spatial data; Exporting spatial data; Summary; Chapter 4: Creating Maps; Introducing Mapnik; Installing Mapnik; A taste of Mapnik; Building a map; Styling a map; Learning Mapnik; Datasources; Symbolizers; PointSymbolizer; LineSymbolizer.
|
505 |
8 |
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|a PolygonSymbolizerTextSymbolizer; RasterSymbolizer; Map rendering; A working example; Next steps; Summary; Chapter 5: Analyzing Geospatial Data; Libraries for spatial analysis; PyProj; NetworkX; Spatial analysis recipes; Calculating and comparing coordinates; Calculating lengths; Calculating areas; Calculating shortest paths; Summary; Chapter 6: Building a Complete Geospatial Analysis System; Matching GPS data against a map; An overview of the GPS Heatmap system; Obtaining the necessary data; Obtaining GPS data; Downloading the road data; Implementing the GPS Heatmap system.
|
505 |
8 |
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|a Initializing the databaseImporting the road data; Splitting the road data into segments; Constructing a network of directed road segments; Implementing the map-matching algorithm; Generating the GPS Heatmap; Further improvements; Summary; Index.
|
520 |
|
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|a If you are an experienced Python developer and wish to get up-to-speed with geospatial programming, then this book is for you. While familiarity with installing third-party Python libraries would be an advantage, no prior knowledge of geospatial programming is required.
|
546 |
|
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|a English.
|
590 |
|
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|a Knovel
|b ACADEMIC - Earth Sciences
|
650 |
|
0 |
|a Python (Computer program language)
|
650 |
|
0 |
|a Geospatial data.
|
650 |
|
6 |
|a Python (Langage de programmation)
|
650 |
|
6 |
|a Données géospatiales.
|
650 |
|
7 |
|a Geospatial data.
|2 fast
|0 (OCoLC)fst01741194
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
|
776 |
0 |
8 |
|i Print version:
|a Westra, Erik.
|t Python geospatial analysis essentials : process, analyze, and display geospatial data using Python libraries and related tools.
|d Birmingham, England : Packt Publishing Ltd, ©2015
|h ix, 178 pages
|k Community experience distilled.
|z 9781782174516
|
830 |
|
0 |
|a Community experience distilled.
|
856 |
4 |
0 |
|u https://appknovel.uam.elogim.com/kn/resources/kpPGAEPAD7/toc
|z Texto completo
|
938 |
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|a EBL - Ebook Library
|b EBLB
|n EBL2075817
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938 |
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|a EBSCOhost
|b EBSC
|n 1018029
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938 |
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|a ProQuest MyiLibrary Digital eBook Collection
|b IDEB
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|a YBP Library Services
|b YANK
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