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 -- Downloading the example code -- Errata -- Piracy -- Questions -- 1. Geospatial Development Using Python -- Python -- Geospatial development -- Applications of geospatial development -- Analyzing geospatial data -- Visualizing geospatial data -- Creating a geospatial 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 Geospatial Development -- Reading and writing geospatial 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 geospatial data -- Shapely -- Design -- Example code -- Documentation -- Availability -- Visualizing geospatial data -- Mapnik -- Design -- Example code -- Documentation -- Availability -- Summary -- 4. Sources of Geospatial Data -- Sources of geospatial data in vector format -- OpenStreetMap -- Data format -- Obtaining and using OpenStreetMap data -- The OpenStreetMap API -- Planet.osm -- Mirror sites and extracts -- Working with OpenStreetMap data -- TIGER -- Data format -- Obtaining and using TIGER data.

Natural Earth -- Data format -- Obtaining and using Natural Earth vector data -- Global, self-consistent, hierarchical, high-resolution shoreline database (GSHHS) -- Data format -- Obtaining the GSHHS database -- World Borders Dataset -- Data format -- Obtaining World Borders Dataset -- Sources of geospatial data in raster format -- Landsat -- Data format -- Obtaining Landsat imagery -- Natural Earth -- Data format -- Obtaining and using Natural Earth raster data -- Global Land One-kilometer Base Elevation (GLOBE) -- Data format -- Obtaining and using GLOBE data -- National Elevation Dataset (NED) -- Data format -- Obtaining and using NED data -- Sources of other types of geospatial data -- GEOnet Names Server -- Data format -- Obtaining and using GEOnet Names Server data -- Geographic Names Information System (GNIS) -- Data format -- Obtaining and using GNIS Data -- Choosing your geospatial data source -- Summary -- 5. Working with Geospatial Data in Python -- Pre-requisites -- Reading and writing geospatial 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 geospatial data -- Task - define the border between Thailand and Myanmar -- Task - save geometries into a text file -- Performing geospatial calculations -- 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 -- Installing pysqlite -- Accessing SpatiaLite from Python -- Documentation -- Using SpatiaLite -- SpatiaLite capabilities -- Commercial Spatially-enabled databases -- Oracle -- MS SQL Server -- Recommended best practices -- Using the database to keep track of spatial references -- Using the appropriate spatial reference for your data -- Option 1 - using a database that supports geographies -- Option 2 - transforming features as required -- Option 3 - transforming features from the outset -- When to use unprojected coordinates -- Avoiding on-the-fly transformations within a query -- Don't create geometries within a query -- Using spatial indexes appropriately -- Knowing the limits of your database's query optimizer -- MySQL -- PostGIS -- SpatiaLite -- Working with geospatial databases using python -- Prerequisites -- Working with MySQL -- Working with PostGIS -- Working with SpatiaLite -- Comparing the databases -- Summary -- 7. Working with Spatial Data -- About DISTAL -- Designing and building the database -- Downloading the data -- World Borders Dataset -- GSHHS -- GNIS -- GEOnet Names Server -- Importing the data -- World Borders Dataset -- GSHHS -- US place name data -- Worldwide place name data -- Implementing the DISTAL application -- The shared "database" module -- The "select country" script -- The "select area" script -- Calculating the bounding box -- Calculating the map's dimensions -- Setting up the data source -- 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 -- Displaying the results -- Application review and improvements -- Usability -- Quality -- Place name issues -- Lat/Long coordinate problems -- Performance -- Finding the problem -- Improving performance -- Calculating the tiled shorelines -- Using tiled shorelines -- Analyzing the performance improvement -- 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 -- MemoryDatasource -- Rules, filters, and styles -- Filters -- Scale denominators -- "Else" rules -- "Also" rules -- Symbolizers -- Drawing lines -- LineSymbolizer -- Line color -- Line width -- Opacity -- Line caps -- Line joins -- Dashed and dotted lines -- Drawing roads and other complex linear features -- 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 -- Advanced text placement and formatting -- 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 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. Putting It All Together - a Complete Mapping System -- About ShapeEditor -- Designing ShapeEditor -- Importing a shapefile -- Selecting a feature -- Editing a feature -- Exporting a shapefile -- Prerequisites -- The structure of a Django application -- Models -- Views -- URL dispatching -- Templates -- Setting up the database -- Setting up the ShapeEditor project -- Defining the ShapeEditor's applications -- Creating the shared application -- Defining the data models -- Shapefile -- Attribute -- Feature -- AttributeValue -- The models.py file -- Playing with the admin system -- Summary -- 10. ShapeEditor - Implementing List View, Import, and Export -- Implementing the "list shapefiles" view -- Importing shapefiles -- The "import shapefile" view function -- 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 -- Defining 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 -- 11. ShapeEditor - Selecting and Editing Features -- Selecting a feature to edit -- Implementing Tile Map Server -- Setting up the base map -- Tile rendering -- Parsing the query parameters -- Setting up the map -- Defining the base layer -- Defining the feature layer -- Rendering the map tile -- Completing the Tile Map Server -- Using OpenLayers to display the map -- Intercepting mouse clicks -- Implementing the find feature view -- Editing features -- Adding features -- Deleting features -- Deleting shapefiles -- Using ShapeEditor -- Further improvements and enhancements -- Summary.

Index.