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Document: Guide/Manuel

Python geospatial development / Erik Westra (2010)

Public

Titre :	Python geospatial development : Build a complete and sophisticated mapping application from scratch using Python tools for GIS development
Type de document :	Guide/Manuel
Auteurs :	Erik Westra, Auteur
Editeur :	Birmingham : Packt Publishing
Année de publication :	2010
Importance :	487 p.
Format :	19 x 23 cm
ISBN/ISSN/EAN :	978-1-84951-154-4
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Langages informatiques [Termes IGN] analyse spatiale [Termes IGN] application informatique [Termes IGN] bibliothèque logicielle [Termes IGN] langage à objets [Termes IGN] logiciel libre [Termes IGN] MySQL [Termes IGN] OpenLayers [Termes IGN] PostGIS [Termes IGN] projection [Termes IGN] Python (langage de programmation) [Termes IGN] système d'information géographique [Termes IGN] web mapping
Résumé :	(Editeur) Open Source GIS (Geographic Information System) is a growing area with the explosion of applications such as Google Maps, Google Earth, and GPS. The GIS market is growing rapidly and as a Python developer you will find yourself either wanting grounding in GIS or needing to get up to speed to do your job. In today's location-aware world, all commercial Python developers can benefit from an understanding of GIS development gained using this book. Working with geospatial data can get complicated because you are dealing with mathematical models of the Earth's surface. Since Python is a powerful programming language with high-level toolkits, it is well suited to GIS development. This book will familiarize you with the Python tools required for geo-spatial development such as Mapnik, which is used for mapping in Python. It introduces GIS at the basic level with a clear, detailed walkthrough of the key GIS concepts such as location, distance, units, projections, datums, and GIS data formats. We then examine a number of Python libraries and combine these with geo-spatial data to accomplish a variety of tasks. The book provides an in-depth look at the concept of storing spatial data in a database and how you can use spatial databases as tools to solve a variety of geospatial problems.
Note de contenu :	Chapter 1: Geo-Spatial Development Using Python Python Geo-spatial development Applications of geo-spatial development Recent developments Summary Chapter 2: GIS Core GIS concepts + Location + Distance + Units + Projections + Coordinate systems + Datums + Shapes GIS data formats Working with GIS data manually Summary Chapter 3: Python Libraries for Geo-Spatial Development Reading and writing geo-spatial data + GDAL/OGR + Documentation + Availability Dealing with projections + pyproj + Design + 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 Chapter 4: Sources of Geo-Spatial Data Sources of geo-spatial data in vector format + OpenStreetMap + TIGER + Digital Chart of the World + GSHHS + World Borders Dataset Sources of geo-spatial data in raster format + Landsat + GLOBE + National Elevation Dataset Sources of other types of geo-spatial data + GEOnet Names Server + GNIS Summary Chapter 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 Chapter 6: GIS in the Database Spatially-enabled databases Spatial indexes Open source spatially-enabled databases + MySQL + PostGIS + SpatiaLite 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 + 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 Working with geo-spatial databases using Python + Prerequisites + Working with MySQL + Working with PostGIS + Working with SpatiaLite + Speed comparisons Summary Chapter 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 + The "Show Results" script Application review and improvements + Usability + Quality + Performance + Scalability Summary Chapter 8: Using Python and Mapnik to Generate Maps Introducing Mapnik Creating an example map Mapnik in depth + Data sources + Rules, filters, and styles + Symbolizers + Maps and layers + 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 Chapter 9: Web Frameworks for Python Geo-Spatial Development Web application concepts + Web application architecture + 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 + The Web Feature Service (WFS) protocol + The TMS (Tile Map Service) protocol Tools + Tile caching + User interface libraries + Web application frameworks Summary Chapter 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 Chapter 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 + 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 Chapter 12: ShapeEditor: Selecting and Editing Features Selecting a feature to edit + Implementing 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
Numéro de notice :	10373
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE/INFORMATIQUE
Nature :	Manuel
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=46006

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Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
10373-01	DEP-REA	Manuel Informatique	Marne-la-Vallée	Dépôt en unité	Exclu du prêt
10373-02	DEP-FSED	Livre	Toulouse	Dépôt en unité	Exclu du prêt

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