Timeline for Creating clusters based on attribute and proximity [duplicate]
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Jun 29, 2021 at 8:46 | comment | added | YeO | @SimonGIS were you able to solve your problem ? Would you mind sharing how ? | |
| Apr 5, 2019 at 7:11 | history | closed | Ian Turton | Duplicate of Dissolving polygons in QGIS or GRASS to new polygons of defined population sizes | |
| Apr 5, 2019 at 6:56 | history | edited | Taras♦ | CC BY-SA 4.0 |
Structured, Title adjusted
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| Apr 5, 2019 at 6:48 | comment | added | Simon GIS | Yes, but will now not considerate the population factor. SO DBSCAN will only clusters in 50 base on distance... | |
| Apr 5, 2019 at 6:41 | comment | added | Erik | DBSCAN definitely uses proximity. | |
| Apr 5, 2019 at 6:20 | comment | added | Simon GIS | yes, it seems they all used clustering with values but without considering the spatial proximity... Like this one : ekazakov.info/projects/abc_tutorial.html | |
| Apr 5, 2019 at 6:16 | comment | added | Erik |
Have you taken a look at the various tool which pop up when you enter cluster in the search window of the tool box?
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| Apr 5, 2019 at 5:36 | answer | added | MartinT | timeline score: 1 | |
| Apr 5, 2019 at 5:21 | history | asked | Simon GIS | CC BY-SA 4.0 |