Showing entries 1 to 5
Displaying posts with tag: maps (reset)
Sep
30
2010
GlassFish scales and configures very quickly for Micello - the "indoor Google Maps" company
Posted by Arun Gupta on Thu 30 Sep 2010 12:15 UTC
Tags:
We all (at least majority of us) use some sort of maps to reach from one destination, say home, to another destination, say a shopping mall or a convention center. But once you've reached the mall then you switch to a different set of tools to navigate that is typically either a paper flyer or sign boards within the mall. Micello.com fills that gaps by providing maps for any indoor locations like airport, shopping malls, convention centers, retail centers, and college campus.


Their application is built using "scalable stack" of GlassFish and MySQL, uses RESTful Web services, and has given them a 99.9% uptime in the past few months - no wonder its used to create indoor maps for 50 malls in Singapore. Listen …

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Sep
30
2010
GlassFish scales and configures very quickly for Micello - the "indoor Google Maps" company
Posted by Arun Gupta on Thu 30 Sep 2010 05:15 UTC
Tags:
We all (at least majority of us) use some sort of maps to reach from one destination, say home, to another destination, say a shopping mall or a convention center. But once you've reached the mall then you switch to a different set of tools to navigate that is typically either a paper flyer or sign boards within the mall. Micello.com fills that gaps by providing maps for any indoor locations like airport, shopping malls, convention centers, retail centers, and college campus.


Their application is built using "scalable stack" of GlassFish and MySQL, uses RESTful Web services, and has given them a 99.9% uptime in the past few months - no wonder its used to create indoor maps for 50 malls in Singapore. Listen …

[Read more]
Sep
30
2010
GlassFish scales and configures very quickly for Micello - the "indoor Google Maps" company
Posted by Arun Gupta on Thu 30 Sep 2010 05:15 UTC
Tags:
We all (at least majority of us) use some sort of maps to reach from one destination, say home, to another destination, say a shopping mall or a convention center. But once you've reached the mall then you switch to a different set of tools to navigate that is typically either a paper flyer or sign boards within the mall. Micello.com fills that gaps by providing maps for any indoor locations like airport, shopping malls, convention centers, retail centers, and college campus.


Their application is built using "scalable stack" of GlassFish and MySQL, uses RESTful Web services, and has given them a 99.9% uptime in the past few months - no wonder its used to create indoor maps for 50 malls in Singapore. Listen …

[Read more]
Sep
24
2009
Four short links: 24 September 2009
Posted by Nat Torkington on Thu 24 Sep 2009 23:00 UTC
Tags:
  1. Milestones in the History of Thematic Cartography -- This resource provides a comprehensive view of the history of cartography, with examples of maps created throughout the ages and background information about the contexts within which those maps, visualizations and map making technologies were created. Explore each time period, click on the images and stories found throughout each time line, and read more about the history of creating thematic maps as a means of visualizing data. (via Titine on Delicious)
  2. Interview with Larry Ellison (Infoworld) -- Asked about MySQL, "No, we're not going to spin it off," even if asked to by the EU, Ellison said. Lots of detail and …
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Jan
18
2007
Calculating Distance in Miles from Latitude and Longitude
Posted by Pete Freitag on Thu 18 Jan 2007 21:13 UTC
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The amount of data out there via API's is increadible these days. For instance you can take an address, and get the latitude and longitude using Google's GeoCoding API.

I am using this API along with some others to build a pretty some interesting stuff (more on that when its public).

Today I needed to calculate the distance between two points, I found a bunch of formulas here to convert two lats and longs into miles. They had some more complicated formulas, but I went with an easier one because approximate accuracy was sufficent. Here's how the formula translated into SQL (tested on MySQL): 

SELECT id, place_name,
ROUND( SQRT( POW((69.1 * (#Val(arguments.latitude)# - latitude)), 2) + POW((53 * (#Val(arguments.longitude)# - …
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Showing entries 1 to 5