cellstats.blogspot.com

Statistics Analysis

Analysis of time-series data- By Sarel Coetzer. Statistic data from a certain year can be mapped and compared with a different set of statistical data from another. From the same geographic extent. Statistical data can be used to clean up data, smooth out rough edges and make the data more meaningful. It's an process which can be used to extract averages. Highest, lowest, means and even deviations values from your acquired. And visualize the data on a map. Compare values over time is sometimes necessary.

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Statistics Analysis | cellstats.blogspot.com Reviews

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Analysis of time-series data- By Sarel Coetzer. Statistic data from a certain year can be mapped and compared with a different set of statistical data from another. From the same geographic extent. Statistical data can be used to clean up data, smooth out rough edges and make the data more meaningful. It's an process which can be used to extract averages. Highest, lowest, means and even deviations values from your acquired. And visualize the data on a map. Compare values over time is sometimes necessary.

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6 data sets

7 the following examples

8 vegetation change analysis

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Statistics Analysis | cellstats.blogspot.com Reviews

https://cellstats.blogspot.com

Analysis of time-series data- By Sarel Coetzer. Statistic data from a certain year can be mapped and compared with a different set of statistical data from another. From the same geographic extent. Statistical data can be used to clean up data, smooth out rough edges and make the data more meaningful. It's an process which can be used to extract averages. Highest, lowest, means and even deviations values from your acquired. And visualize the data on a map. Compare values over time is sometimes necessary.

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cellstats.blogspot.com

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Statistics Analysis: Land Cover 1990

http://www.cellstats.blogspot.com/2006/12/land-cover-1990.html

Analysis of time-series data- By Sarel Coetzer. Land cover for the year 1990 were recorded and mapped. Illustration of GIS Technology and software produced by ESRI. View my complete profile.

2

Statistics Analysis: Vegetation 1990

http://www.cellstats.blogspot.com/2006/12/vegetation-1999.html

Analysis of time-series data- By Sarel Coetzer. The mask and a cell statistical analysis where applied which resulted in the above raster. Here I identified the minority vegetation. With a graph illustrating. The min- vegetation count for 1990. Illustration of GIS Technology and software produced by ESRI. View my complete profile.

3

Statistics Analysis: Land Cover 2000

http://www.cellstats.blogspot.com/2006/12/land-cover-2000.html

Analysis of time-series data- By Sarel Coetzer. Land cover for 2000 were recorded and mapped. As note from the previous two maps, it is impossible to establish which vegetation has grown vigorously. And which vegetation where overpowered by severe competition. Illustration of GIS Technology and software produced by ESRI. View my complete profile.

4

Statistics Analysis: Vegetation 2000

http://www.cellstats.blogspot.com/2006/12/vegetation-2000.html

Analysis of time-series data- By Sarel Coetzer. The same mask and cell stats analysis where applied to the 2000 data sets. It's possible to identify which species has grown or declined over the past ten years. From this analysis the total area can be established to calculate loss/increase of volume. The data set. Can also be compared to temperature. And rainfall data to establish growth patterns related to weather. Once a pattern. Illustration of GIS Technology and software produced by ESRI.

5

Statistics Analysis: Vegetation Change Analysis

http://www.cellstats.blogspot.com/2006/12/vegetation-change-analysis.html

Analysis of time-series data- By Sarel Coetzer. I produced a raster illustrating the change of vegetation that occurred over the past 10 years. This raster is used to mask(cut) out these areas from both 1990 and 2000 datasets. Illustration of GIS Technology and software produced by ESRI. View my complete profile.

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cellstats.blogspot.com

Statistics Analysis

Analysis of time-series data- By Sarel Coetzer. Statistic data from a certain year can be mapped and compared with a different set of statistical data from another. From the same geographic extent. Statistical data can be used to clean up data, smooth out rough edges and make the data more meaningful. It's an process which can be used to extract averages. Highest, lowest, means and even deviations values from your acquired. And visualize the data on a map. Compare values over time is sometimes necessary.

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