Python Geospatial Development. If you're experienced in Python here's an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required – this book takes you through it all, step by step. - Second Edition Erik Westra

Spis treści książki

• 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
      • Dont 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

pokaż cały spis treści

ukryj recenzje