Learning Geospatial Analysis with Python
Packt Publishing Ltd, 25/10/2013 - 364 páginas
This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will first introduce various Python-related tools/packages in the initial chapters before moving towards practical usage, examples, and implementation in specialized kinds of Geospatial data analysis.This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another scripting language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.
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algorithm ArcGIS ArcSDE ASCII Grid bands bounding box builtin cell CGAL Change detection Chapter color computational geometry contain convert coordinates create data set database distance ElementTree elevation data Esri example field file name following image following screenshot format function GDAL gdalnumeric Geographic Information Systems GeoJSON geospatial data geospatial software Google Earth gvSIG Haversine formula header histogram import shapefile install JSON Learning Geospatial Analysis LIDAR metadata method minidom NDVI Nextbus NumPy NumPy array ofthe OpenEV OpenStreetMap Oracle Spatial output packages parse path pixels Placemark PNGCanvas polygon PostGIS processing projection pure Python PyPI PyShp Python modules QGIS raster data realtime realworld remote sensing Reprojection route satellite script Server shaded relief shapefile simple Spatial indexing thematic map Tkinter uDig urllib values variable vector data visualization xratio