Google Maps Mania: Bathymetry Data on Google Maps featured the work referred to in my previous post.
I have a goal of adding to it or visualizing the 76+ million points of depth sounding data available from NOAA.
Sunday, January 24, 2010
Wednesday, January 20, 2010
Google maps and visualizing large amounts of data
I had a large number of data points (4 million+) that represented depth sounding data referenced by UTM coordinates. I wanted to get a feel for how this data was distributed spatially in reference to a map. Google maps gives the ability to overlay their maps with custom tiles.
This lead me to representing these points by a color legend representing depth and age of data by transparency here. I hosted the data behind those points by dividing it into a fine grid and aggregating the data points into that grid for quick retrieval.
I used Google's App Engine to host the data and it seems to work fine except for the long startup time if the page is accessed after a long time.
The code if you are interested, is in these two open source projects (dsm2-grid-map & gmap-tile-generator)
This lead me to representing these points by a color legend representing depth and age of data by transparency here. I hosted the data behind those points by dividing it into a fine grid and aggregating the data points into that grid for quick retrieval.
I used Google's App Engine to host the data and it seems to work fine except for the long startup time if the page is accessed after a long time.
The code if you are interested, is in these two open source projects (dsm2-grid-map & gmap-tile-generator)
Labels:
bathymetry,
dsm2,
generator,
gmaps,
open source,
tiles
Friday, November 20, 2009
I got so tired of trying to find data for my work from this site http://cdec.water.ca.gov that i did a little mashup. i used java, gwt, eclipse.. the usual culprits
The link is here http://waterdatamap.appspot.com
Overall, its fast but parsing html is no way to do web services. but thats the condition of the web today :(
The link is here http://waterdatamap.appspot.com
Overall, its fast but parsing html is no way to do web services. but thats the condition of the web today :(
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