Land use and boundary in Urgenche: Difference between revisions

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Question

Estimated of land use in Urgenche?

Answer

In order to make the method to find out different land. There are different ideas such as simple software GeoTIFF, NITF, JPEG 2000, ECW (file format), MrSID, HDF, and NetCDF to detect land in the Urgenche. After some investigation regarding to these software we understood these software are more or less professional and we have to pay for registration fee as well as software. So we decide to search for another method.

In the other method we decide to print the map and measure different land by hand and scale. We used the Escali L-Series digital scales are highly accurate easy to use digital scales with some of the industry's best features. 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. The first table is just estimation. The second table is done with balance.

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

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

Dependencies

Formula

**Urgenche research project 2011 - 2014: city-level climate change mitigation**
Urgenche pages Urgenche main page · Category:Urgenche · Urgenche project page (password-protected) Relevant data Building stock data in Urgenche‎ · Building regulations in Finland · Concentration-response to PM2.5 · Emission factors for burning processes · ERF of indoor dampness on respiratory health effects · ERF of several environmental pollutions · General criteria for land use · Indoor environment quality (IEQ) factors · Intake fractions of PM · Land use in Urgenche · Land use and boundary in Urgenche · Energy use of buildings Relevant methods Building model · Energy balance · Health impact assessment · Opasnet map · Help:Drawing graphs · OpasnetUtils‎ · Recommended R functions‎ · Using summary tables‎ City Kuopio Climate change policies and health in Kuopio (assessment) · Climate change policies in Kuopio (plausible city-level climate policies) · Health impacts of energy consumption in Kuopio · Building stock in Kuopio · Cost curves for energy (prioritization of options) · Energy balance in Kuopio (energy data) · Energy consumption and GHG emissions in Kuopio by sector · Energy consumption classes (categorisation) · Energy consumption of heating of buildings in Kuopio · Energy transformations (energy production and use processes) · Fuels used by Haapaniemi energy plant · Greenhouse gas emissions in Kuopio · Haapaniemi energy plant in Kuopio · Land use in Kuopio · Building data availability in Kuopio · Password-protected pages: File:Heat use in Kuopio.csv · Kuopio housing City Basel Buildings in Basel (password-protected) Energy balances Energy balance in Basel · Energy balance in Kuopio · Energy balance in Stuttgart · Energy balance in Suzhou

Keywords

References

Related files

Land use and boundary in Urgenche. Opasnet . [1]. Accessed 23 Nov 2024.

@@ Line 29: / Line 29: @@
 </googlemap>
-Define specific land boundary for Kuopio as it shows in the above map.In order to find actual land use and boundary in Urgenche, We used Google map by random sampling. In those 6 cities as are shows in the following table.
+In order to make the method to find out different land. There are different ideas such as simple software GeoTIFF, NITF, JPEG 2000, ECW (file format), MrSID, HDF, and NetCDF to detect land in the Urgenche. After some investigation regarding to these software we understood these software are more or less professional and we have to pay for registration fee as well as software. So we decide to search for another method.
+In the other method we decide to print the map and measure different land by hand and scale. We used the Escali L-Series digital scales are highly accurate easy to use digital scales with some of the industry's best features.
+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.
+The first table is just estimation. The second table is done with balance.
-We looked for simple software such as GeoTIFF, NITF, JPEG 2000, ECW (file format), MrSID, HDF, and NetCDF to detect land in the Urgenche. as far as all of them was quiet professional software we decide to print the map and measure different land by hand and scale.
 {| {{prettytable}}
 | Obs
@@ Line 90: / Line 99: @@
 |----
 |}
-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’s not possible to differentiate green area and building.
-We weight water and land with the digital balance. The results are as follows.
-Out f 7 city 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.
@@ Line 128: / Line 133: @@
-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.
+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. The problem was that scale was different for each city.
+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.
@@ Line 193: / Line 199: @@
 | 12%
 | 24%
-|----
-| 10
-| [ Kuopio]
-| 36%
-| 52%
-| 12%
 |----
 |}
 == Rationale ==