Land use and boundary in Urgenche: Difference between revisions
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In order to make the method, find out different land. There are different ideas such as to find out simple software such as GeoTIFF, NITF, JPEG 2000, ECW (file format), MrSID, HDF, and NetCDF to detect land in the Urgenche. So far all of them were professional software we decide to print the map and measure different land by hand and scale. | In order to make the method, find out different land. There are different ideas such as to find out simple software such as GeoTIFF, NITF, JPEG 2000, ECW (file format), MrSID, HDF, and NetCDF to detect land in the Urgenche. So far all of them were professional software we decide to print the map and measure different land by hand and scale. | ||
To know the accurate percentage of the land and water, we used the map for each city. We print the colorful printing and the cut the land and water for each city. We used Google map, in the printing version of the Google map it is not possible to differentiate green area and building. We weight water and land with the digital balance. The results are as follows. | To know the accurate percentage of the land and water, we used the map for each city. We print the colorful printing and the cut the land and water for each city. We used Google map, in the printing version of the Google map it is not possible to differentiate green area and building. We weight water and land with the digital balance. The results are as follows. | ||
Out of 7 cities, we only evaluated 3 cities such as Kuopio, Basel and Thessaloniki. For bigger cities particularly for Xi'an and Suzhou the Google map data is not reliable. | Out of 7 cities, we only evaluated 3 cities such as Kuopio, Basel and Thessaloniki. For bigger cities particularly for Xi'an and Suzhou the Google map data is not reliable. | ||
In order to find actual land use and boundary in Urgenche, We used Google map. For Kuopio, we define specific land boundary as it shows in the above map. | In order to find actual land use and boundary in Urgenche, We used Google map. For Kuopio, we define specific land boundary as it shows in the above map. | ||
{| {{prettytable}} | {| {{prettytable}} |
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Question
Estimated of land use in Urgenche?
Answer
<googlemap version="0.9" lat="62.816274" lon="27.718506" type="map" zoom="9"> 6#B2758BC5 62.968957, 27.712326 62.97395, 27.750092 62.951476, 27.79541 62.965836, 27.826996 62.90898, 27.902527 62.858905, 27.951965 62.754726, 28.048096 62.715721, 27.891541 62.708166, 27.781677 62.701868, 27.671814 62.718239, 27.509766 62.781119, 27.408142 62.841316, 27.305832 62.923986, 27.301025 62.975198, 27.424622 62.971453, 27.526245 62.97395, 27.692413 62.968645, 27.70752 </googlemap>
In order to make the method, find out different land. There are different ideas such as to find out simple software such as GeoTIFF, NITF, JPEG 2000, ECW (file format), MrSID, HDF, and NetCDF to detect land in the Urgenche. So far all of them were professional software we decide to print the map and measure different land by hand and scale.
To know the accurate percentage of the land and water, we used the map for each city. We print the colorful printing and the cut the land and water for each city. We used Google map, in the printing version of the Google map it is not possible to differentiate green area and building. We weight water and land with the digital balance. The results are as follows.
Out of 7 cities, we only evaluated 3 cities such as Kuopio, Basel and Thessaloniki. For bigger cities particularly for Xi'an and Suzhou the Google map data is not reliable.
In order to find actual land use and boundary in Urgenche, We used Google map. For Kuopio, we define specific land boundary as it shows in the above map.
Obs | City | Green area | Urben area | Water area | Other area |
1 | Kuopio | 70% | 10% | 20% | |
2 | Stuttgart | 40% | 40% | 10% | 10% |
3 | Basel | 5% | 80% | 10% | 5% |
4 | Rotterdam | 15% | 55% | 20% | 10% |
5 | Thessaloniki | 5% | 80% | 15% | |
6 | Xi'an | 10% | 3% | 87% | |
7 | Suzhou | 5% | 35% | 15% | 45% |
Obs | City | wight of land area | wight of water area | % land | % water |
1 | Kuopio | 0,9 | 0,9 | 50 | 50 |
2 | Basel | 0,03 | 0,52 | 5,454545455 | 94,54545455 |
3 | Thessaloniki | 0,58 | 1,28 | 31,1827957 | 68,8172043 |
In order to make the method find out different land. The new idea and so far the best is to use Google map with grid paper.
There is some fact which you have to take in to consideration such as the scale and documentation of the map. First of all we decided to use the attached map inside of Opasnet. We use Google map as well as karttapaikka website.
Obs | City | Green area | Building area | Water area |
1 | Kuopio | 10% | 72% | 18% |
2 | Kuopio | 25% | 75% | |
3 | Kuopio | 36% | 52% | 12% |
4 | Kuopio | 20% | 80% | |
5 | Kuopio | 46% | 54% | |
6 | Kuopio | 36% | 52% | 12% |
7 | Kuopio | 36% | 64% | |
8 | Kuopio | 72% | 28% | |
9 | Kuopio | 64% | 12% | 24% |
Rationale
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References
Related files
<mfanonymousfilelist></mfanonymousfilelist>