Learning Geospatial Analysis with Python : master GIS and remote sensing analysis using Python with these easy to follow tutorials /
"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 specializ...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham ; Mumbai :
Packt Publishing,
2013.
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| Subjects: | |
| Online Access: | CONNECT CONNECT |
Table of Contents:
- Preface
- Chapter 1: Learning Geospatial Analysis with Python
- Chapter 2: Geospatial Data
- Chapter 3: The Geospatial Technology Landscape
- Chapter 4: Geospatial Python Toolbox
- Chapter 5: Python and Geographic Information Systems
- Chapter 6: Python and Remote Sensing
- Chapter 7: Python and elevation data
- Chapter 8: Advances Python geospatial modelling
- Chapter 9: Real-time data
- Chapter 10: Putting it all together.
- Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Learning Geospatial Analysis with Python; Geospatial analysis and our world; Beyond politics; History of geospatial analysis; Geographic Information Systems; Remote sensing; Elevation data; Computer-aided drafting; Geospatial analysis and computer programming; Object-oriented programming for geospatial analysis; Importance of geospatial analysis; Geographic Information System concepts; Thematic maps; Spatial databases; Spatial Indexing; Metadata; Map projections.
- RenderingRaster data concepts; Images as data; Remote sensing and color; Common vector GIS concepts; Data structures; Buffer; Dissolve; Generalize; Intersection; Merge; Point in polygon; Union; Join; Geospatial rules about polygons; Common raster data concepts; Band math; Change detection; Histogram; Feature extraction; Supervised classification; Unsupervised classification; Creating the simplest possible Python GIS; Getting started with Python; Building SimpleGIS; Summary; Chapter 2: Geospatial Data; Data structures; Common traits; Geo-location; Subject information; Spatial indexing.
- MetadataFile structure; Vector data; Shapefiles; CAD files; Tag and markup-based formats; GeoJSON; Raster data; TIFF files; JPEG, GIF, BMP, PNG; Compressed formats; ASCII GRIDS; World files; Point cloud data; Summary; Chapter 3: The Geospatial Technology Landscape; Data access; GDAL; OGR; Computational geometry; PROJ. 4; CGAL; JTS; GEOS; PostGIS; Other spatially-enabled databases; Oracle spatial and graph; ArcSDE; Microsoft SQL Server; MySQL; SpatiaLite; Routing; Esri Network Analyst and Spatial Analyst; pgRouting; Desktop tools; Quantum GIS; OpenEV; GRASS GIS; uDig; gvSIG; OpenJUMP.
- Google EarthNASA World Wind; ArcGIS; Metadata management; GeoNetwork; CatMDEdit; Summary; Chapter 4: Geospatial Python Toolbox; Installing third-party Python modules; Installing GDAL; Windows; Linux; Mac OS X; Python networking libraries for acquiring data; Python urllib module; FTP; ZIP and TAR files; Python markup and tag-based parsers; The minidom module; ElementTree; Building XML; WKT; Python JSON libraries; json module; geojson module; OGR; PyShp; dbfpy; Shapely; GDAL; NumPy; PIL; PNGCanvas; PyFPDF; Spectral Python; Summary; Chapter 5: Python and Geographic Information Systems.
- Measuring distancePythagorean theorem; Haversine formula; Vincenty formula; Coordinate conversion; Reprojection; Editing shapefiles; Accessing the shapefile; Reading shapefile attributes; Reading shapefile geometry; Changing a shapefile; Adding fields; Merging shapefiles; Splitting shapefiles; Subsetting spatially; Performing selections; Point in polygon formula; Attribute selections; Creating images for visualization; Dot density calculations; Choropleth maps; Using spreadsheets; Using GPS data; Summary; Chapter 6: Python and Remote Sensing; Swapping image bands; Creating histograms.
