Difference between revisions of "Peoria, Illinois/Land Usage"
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| − | After having finished the [[Regional geohashing achievement|Regional Geohash]] [[:Category:Regional geohash map|maps]] for the 50 United States, I thought about the next big thing I could work on. I was intrigued by the [[Land usage]] code that some graticules used to map out what's in their area. Instead of going that way, I decided to do a more empirical approach, and see where the geohashes have fallen in the [[Peoria, Illinois|Peoria]] graticule since 2000-01-01. I worked on and off over | + | After having finished the [[Regional geohashing achievement|Regional Geohash]] [[:Category:Regional geohash map|maps]] for the 50 United States, I thought about the next big thing I could work on. I was intrigued by the [[Land usage]] code that some graticules used to map out what's in their area. Instead of going that way, I decided to do a more empirical approach, and see where the geohashes have fallen in the [[Peoria, Illinois|Peoria]] graticule since 2000-01-01. I worked on and off over about a year to look individually at each daily geohash (>4000 days for the initial 11 years), and log the coordinates and what type of land it was. I organized everything in an Excel spreadsheet and graphed the results, seen below. |
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| + | After completing everything from 2000 to present, I continued to maintain the log daily, but didn't attempt to go further back in history for another year and a half or so. I started working backward in time until I gave up in the early '90s. [[User:dvdllr|Dvdllr]] 12:50, 2 September 2015 (EDT) | ||
---- | ---- | ||
| − | + | There have been 7773 locations since 1993-09-25. | |
Color key, in descending order of frequency:<br/> | Color key, in descending order of frequency:<br/> | ||
| Line 14: | Line 16: | ||
|Yellow | |Yellow | ||
|farms/crop fields | |farms/crop fields | ||
| − | | | + | |5441 |
| − | |70. | + | |70.00% |
|- | |- | ||
|Dark green | |Dark green | ||
|forests/woods | |forests/woods | ||
| − | | | + | |891 |
| − | |11. | + | |11.46% |
|- | |- | ||
|Pink | |Pink | ||
|grass/dirt/open space | |grass/dirt/open space | ||
| − | | | + | |615 |
| − | |7. | + | |7.91% |
|- | |- | ||
|Purple | |Purple | ||
|residential property | |residential property | ||
| − | | | + | |349 |
| − | |4. | + | |4.49% |
|- | |- | ||
|Blue | |Blue | ||
|water | |water | ||
| − | | | + | |205 |
| − | |2. | + | |2.64% |
|- | |- | ||
|Grey | |Grey | ||
|roads | |roads | ||
| − | | | + | |124 |
| − | |1. | + | |1.60% |
|- | |- | ||
|Orange | |Orange | ||
|businesses | |businesses | ||
| − | | | + | |102 |
| − | |1. | + | |1.31% |
|- | |- | ||
|Aqua | |Aqua | ||
|parking lots | |parking lots | ||
| − | | | + | |15 |
|0.19% | |0.19% | ||
|- | |- | ||
|Red | |Red | ||
|schools/colleges | |schools/colleges | ||
| − | | | + | |11 |
|0.14% | |0.14% | ||
|- | |- | ||
|Bright green | |Bright green | ||
|golf courses | |golf courses | ||
| − | | | + | |8 |
| − | |0. | + | |0.10% |
|- | |- | ||
|Black | |Black | ||
|railroads | |railroads | ||
| − | | | + | |6 |
| − | |0. | + | |0.08% |
|- | |- | ||
|Brown | |Brown | ||
|cemeteries | |cemeteries | ||
| − | | | + | |6 |
| − | |0. | + | |0.08% |
|} | |} | ||
[[Image: 40 -89 geo places.JPG|888px]] | [[Image: 40 -89 geo places.JPG|888px]] | ||
Latest revision as of 16:50, 2 September 2015
After having finished the Regional Geohash maps for the 50 United States, I thought about the next big thing I could work on. I was intrigued by the Land usage code that some graticules used to map out what's in their area. Instead of going that way, I decided to do a more empirical approach, and see where the geohashes have fallen in the Peoria graticule since 2000-01-01. I worked on and off over about a year to look individually at each daily geohash (>4000 days for the initial 11 years), and log the coordinates and what type of land it was. I organized everything in an Excel spreadsheet and graphed the results, seen below.
After completing everything from 2000 to present, I continued to maintain the log daily, but didn't attempt to go further back in history for another year and a half or so. I started working backward in time until I gave up in the early '90s. Dvdllr 12:50, 2 September 2015 (EDT)
There have been 7773 locations since 1993-09-25.
Color key, in descending order of frequency:
| Color | Type | Count | Percent |
|---|---|---|---|
| Yellow | farms/crop fields | 5441 | 70.00% |
| Dark green | forests/woods | 891 | 11.46% |
| Pink | grass/dirt/open space | 615 | 7.91% |
| Purple | residential property | 349 | 4.49% |
| Blue | water | 205 | 2.64% |
| Grey | roads | 124 | 1.60% |
| Orange | businesses | 102 | 1.31% |
| Aqua | parking lots | 15 | 0.19% |
| Red | schools/colleges | 11 | 0.14% |
| Bright green | golf courses | 8 | 0.10% |
| Black | railroads | 6 | 0.08% |
| Brown | cemeteries | 6 | 0.08% |
