Python Geospatial Development -- Table of Contents -- Python Geospatial Development -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? -- Free Access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Errata -- Piracy -- Questions -- 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 -- 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 -- Summary -- 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 -- 4. Sources of Geo-Spatial Data -- Sources of geo-spatial data in vector format -- OpenStreetMap -- Data format -- Obtaining and using OpenStreetMap data -- The OpenStreetMap API -- Planet.osm -- Mirror sites -- Working with OpenStreetMap XML 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 -- GEOnet Names Server -- Data format -- Obtaining and using GEOnet Names Server data -- GNIS -- Data format -- Obtaining and using GNIS data -- Summary -- 5. Working 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 -- Task: Change datums to allow older and newer TIGER data to be combined -- Representing 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 -- 6. GIS in the Database -- Spatially-enabled databases -- Spatial indexes -- Open source spatially-enabled databases -- MySQL -- PostGIS -- Installing and configuring PostGIS -- Using PostGIS -- Documentation -- Advanced PostGIS features -- SpatiaLite -- Installing SpatiaLite -- Mac OS X -- MS Windows -- Linux.

Installing pysqlite -- Accessing SpatiaLite from Python -- Documentation -- Using SpatiaLite -- SpatiaLite capabilities -- Commercial spatially-enabled databases -- Oracle -- MS SQL Server -- Recommended best practices -- Use the database to keep track of spatial references -- Use the appropriate spatial reference for your data -- Option 1: Use a database that supports geographies -- Option 2: Transform features as required -- Option 3: Transform features from the outset -- When to use unprojected coordinates -- Avoid on-the-fly transformations within a query -- Don't create geometries within a query -- Use spatial indexes appropriately -- Know the limits of your database's query optimizer -- MySQL -- PostGIS -- SpatiaLite -- Working with geo-spatial databases using Python -- Prerequisites -- Working with MySQL -- Working with PostGIS -- Working with SpatiaLite -- Speed comparisons -- Summary -- 7. Working with Spatial Data -- About DISTAL -- Designing and building the database -- Downloading the data -- World Borders Dataset -- GSHHS -- Geonames -- GEOnet Names Server -- Importing the data -- World Borders Dataset -- GSHHS -- US placename data -- Worldwide placename data -- Implementing the DISTAL application -- The "Select Country" script -- The "Select Area" script -- Calculating the bounding box -- Calculating the map's dimensions -- Setting up the datasource -- MySQL -- PostGIS -- SpatiaLite -- Rendering the map image -- The "Show Results" script -- Identifying the clicked-on point -- Identifying features by distance -- Calculating distances manually -- Using angular distances -- Using projected coordinates -- A hybrid approach -- Spatial joins -- Identifying points by true distance -- Displaying the results -- Application review and improvements -- Usability -- Quality -- Placename issues -- Lat/Long coordinate problems -- Performance.

Finding the problem -- Improving performance -- Calculating the tiled shorelines -- Using the tiled shorelines -- Analyzing the performance improvement -- Further performance improvements -- Scalability -- Summary -- 8. Using Python and Mapnik to Generate Maps -- Introducing Mapnik -- Creating an example map -- Mapnik in depth -- Data sources -- Shapefile -- PostGIS -- GDAL -- OGR -- SQLite -- OSM -- PointDatasource -- Rules, filters, and styles -- Filters -- Scale denominators -- "Else" rules -- Symbolizers -- Drawing lines -- LineSymbolizer -- Line color -- Line width -- Opacity -- Line caps -- Line joins -- Dashed and dotted lines -- LinePatternSymbolizer -- Drawing polygons -- PolygonSymbolizer -- Fill color -- Opacity -- Gamma correction -- PolygonPatternSymbolizer -- Drawing labels -- TextSymbolizer -- Specifying the text to be displayed -- Selecting a suitable font -- Drawing semi-transparent text -- Controlling text placement -- Repeating labels -- Controlling text overlap -- Drawing text on a dark background -- Adjusting the position of the text -- Splitting labels across multiple lines -- Controlling character and line spacing -- Controlling capitalization -- Drawing points -- PointSymbolizer -- ShieldSymbolizer -- Drawing raster images -- Using colors -- Maps and layers -- Map attributes and methods -- Layer attributes and methods -- Map rendering -- MapGenerator revisited -- The MapGenerator's interface -- Creating the main map layer -- Displaying points on the map -- Rendering the map -- What the map generator teaches us -- Map definition files -- Summary -- 9. Web Frameworks for Python Geo-Spatial Development -- Web application concepts -- Web application architecture -- A bare-bones approach -- Web application stacks -- Web application frameworks -- Web services -- Map rendering -- Tile caching -- Web servers.

User interface libraries -- The "slippy map" stack -- The geo-spatial web application stack -- Protocols -- The Web Map Service (WMS) protocol -- WMS-C -- The Web Feature Service (WFS) protocol -- The TMS (Tile Map Service) protocol -- Tools -- Tile caching -- TileCache -- mod_tile -- TileLite -- User interface libraries -- OpenLayers -- Mapiator -- Web application frameworks -- GeoDjango -- Understanding Django -- GeoDjango -- MapFish -- TurboGears -- Summary -- 10. Putting it All Together: A Complete Mapping Application -- About the ShapeEditor -- Designing the application -- Importing a Shapefile -- Selecting a feature -- Editing a feature -- Exporting a Shapefile -- Prerequisites -- The structure of a Django application -- Models -- Views -- Templates -- Setting up the database -- Setting up the GeoDjango project -- Setting up the ShapeEditor application -- Defining the data models -- Shapefile -- Attribute -- Feature -- AttributeValue -- The models.py file -- Playing with the admin system -- Summary -- 11. ShapeEditor: Implementing List View, Import, and Export -- Implementing the "List Shapefiles" view -- Importing Shapefiles -- The "import shapefile" form -- Extracting the uploaded Shapefile -- Importing the Shapefile's contents -- Open the Shapefile -- Add the Shapefile object to the database -- Define the Shapefile's attributes -- Store the Shapefile's features -- Store the Shapefile's attributes -- Cleaning up -- Exporting Shapefiles -- Define the OGR Shapefile -- Saving the features into the Shapefile -- Saving the attributes into the Shapefile -- Compressing the Shapefile -- Deleting temporary files -- Returning the ZIP archive to the user -- Summary -- 12. ShapeEditor: Selecting and Editing Features -- Selecting a feature to edit -- Implementing the Tile Map Server -- Setting up the base map -- Tile rendering.

Parsing the query parameters.