sanjiv  committed 5ca22e3

geo related todo

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File docs/main/Extensions/Geo/index.rst

  tgext.geo: Geographic Extensions for TurboGears
+The Geographic Extensions for TurboGears makes is easy to add
+GIS capabilities in a TurboGears2 application. A Web GIS application
+typically consists of both server side and client side components.
+Client Side Components
+The client side component typically consists of a Web2.0 based map
+with rich Ajax capabilities for panning, zooming, layer selection, etc.
+The tw.openlayers ToscaWidget library makes it really simple to add
+a map on a TG2 application. However, if the client side application
+becomes complex and involves a lot of javascript work, it is advisable
+to use the the OpenLayers library directly for greater flexibility.
+Server Side Components
+On the server side a GIS application needs to handle HTTP requests for
+query, processing and manipulation of GIS objects. Several server side
+GIS tools already exist in the python world and tgext.geo makes it easy
+to integrate these tools for server side processing. The tools integrated
+by tgext.geo are:
+GeoAlchemy_ is  a SQLAlchemy extension for spatial databases.
+Use this to define you model objects which have geometry fields.
+The FeatureServer Tutorial explains the usage. For further details
+refer to the GeoAlchemy docs.
+FeatureServer_ is a GIS server that supports publishing of GIS data
+from multiple datasources including GeoAlchemy. FeatureServer can
+publish GIS data in several formats such as JSON, GML, RSS, etc.
+MapFish_ is a pylons based GIS server. MapFish also has a rich client
+library that uses the mapfish protocol. So, if you want a complete
+WebGIS solution, MapFish is for you. MapFish model and controller
+definitions can be added to TG2 application using the paster commands.
+As of now MapFIsh model definitions do not use GeoAlchemy and support
+only reflected tables. However, work is on for building future versions
+of MapFish on GeoAlchemy.
+Serving raster data (satellite imagery, etc) is not supported by TG2 as
+this is not a very common use case. Most of the time we are just
+interested in requesting them from public / corporate servers and
+displaying as background layers on our maps. However, in doing so we
+could choose to cache the requested tiles (view elements) on our
+servers (or in the cloud) in order to make our application more responsive.
+TileCache_ is an excellent python library for achieving this. tgext.geo
+provides a paster command to integrate TileCache in an existing TG2 app.
+The details are available on the TileCache_ home page and on the TG2
+TileCache Tutorial.
 .. toctree::
    :maxdepth: 1
-.. todo:: Difficulty: Medium. Add more details on what these pieces are and how they fit
-          together.
+.. _GeoAlchemy:
+.. _FeatureServer:
+.. _MapFish:
+.. _TileCache: