Timeline for Spatial statistics tools : clustering analysis on raster data
Current License: CC BY-SA 2.5
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 7, 2011 at 12:05 | comment | added | Laurent Jégou | As a complement, i found a whole R module dedicated to spatial agglomeration tools : spdep. | |
| Mar 22, 2011 at 10:09 | vote | accept | Laurent Jégou | ||
| Mar 22, 2011 at 10:08 | vote | accept | Laurent Jégou | ||
| Mar 22, 2011 at 10:09 | |||||
| Mar 22, 2011 at 10:08 | vote | accept | Laurent Jégou | ||
| Mar 22, 2011 at 10:08 | |||||
| S Mar 21, 2011 at 13:52 | history | suggested | johannes | CC BY-SA 2.5 | ficked 4 typos |
| Mar 20, 2011 at 22:10 | answer | added | whuber | timeline score: 6 | |
| Mar 20, 2011 at 19:05 | comment | added | Laurent Jégou | The definition is not given, not a constant. I think the goal is to find substantically more dense areas in respect of their environment, which varies. So the idea about spatial statistics and LISA. You are right about the convexity, i should have wrote "not self-intersecting and not intersecting other polygons". | |
| Mar 20, 2011 at 17:52 | answer | added | Ian Turton | timeline score: 4 | |
| Mar 20, 2011 at 17:46 | comment | added | whuber | What exactly is your definition of "urban"? BTW, I wouldn't expect all urban areas to be adequately described by convex polygons. Many have shapes controlled by geographic features--mountains, shorelines, and rivers--that are highly non-convex. | |
| Mar 20, 2011 at 17:30 | history | tweeted | twitter.com/#!/StackGIS/status/49523253399650304 | ||
| Mar 20, 2011 at 15:06 | review | Suggested edits | |||
| S Mar 21, 2011 at 13:52 | |||||
| Mar 20, 2011 at 15:03 | history | asked | Laurent Jégou | CC BY-SA 2.5 |