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A point location is defined by lat/long/altitude. An area location or polygon is defined by 3 or more point locations. A track point is a point location or area location plus a time. A 3d polygon?

The openmoko app, tangogps, introduced me to a new GPS concept - Horizontal/Vertial Dilution of Precision. the V-DOP/H-DOP value will help generate an an accuracy estimate. A high VDOP means a low accuracy so take a larger area and low confidence as the object's location. The location record will store a range in meters, centered on the given lat/long that gives a confidence to the location.

build a set of filters from the following. use a filter language/DSL?

• geo - location, radius
• geo - polygon (set of points)
• object type - person, business, event
• record creation date
• user id

I want to be notified when the results of a search are positive, or have result count of X. examples:

• user A moves into/outof polygon B (in 3D space, could be in an elevator etc)
• a filter set for polygon A results in X or more objects (eg. favorite bar has 4 or more friends)

A list of notification triggers would be managed.

• unix command line
• unix daemon
• android app (see androidsociallocationnetwork)
• web site

language possibilities:

• erlang
• ruby
• java

database:

• postgresql + postGIS extension
• couchdb

access protocols:

• HTML
• XMPP
• OAUTH / OpenID

object being tracked: /object/<name>
one object at one location: /location/<guid>

Distributed. Each IceCondor installation (node) uses a distributed hash table to store location records. Nodes can be added to the network easily and once added, its data is searchable by any other node. Using a DHT for storage would loose the benefits of postGIS for lat/long queries. Hadoop?