Analysis 1: Finlay's Fern Reintroduction Horticulture Land Suitability Project 2012
Created using Fuzzy Classification in ESRI's ArcMap 10, a horticulture suitability map shows the best and most poor locations to plant a new species of fern. This process using ESRI's GIS technology has reduced costs and time associated with project planning.
Below my study site, located in the Niagara Region, is displayed:
Below are criteria used to assess the most suitable land cover:
Slope, Aspect and Hillshade were classified using Fuzzy Classification. This method groups elements with similar properties. In the examples below, a midpoint of the data is entered. Using the gaussian (Bayesian) probability curve, all other points around the midpoint are dispersed with a widely stretched variability of 0.01.
Combined using the raster calculator in ArcMap 10, weights by percentage were added to each of the above criteria. This method works best when each layer has a different significance to the final outcome.
Below is the formula used in the raster calculator:
(Slope Output * 0.461538) + (Aspect Output * 0.230769) + (Hillshade Output * 0.153846) + (Soil Reclassed Output * 0.153846)
The result of the above is a map showing groups/categories of land class suitability from best to most poor. This is seen below:
The Fuzzy method displays the small nuances between classes.
The Fuzzy Classification method was chosen by myself because in this study it provided the best land suitability analysis.
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