Module 1.1 Fundamentals

 

Accuracy is the absence of error and is determined by comparing a coded value in the database of interest to some independent reference value. Precision is the variance of measurement.

The precision for this study was calculated by creating buffers measuring the distance the way points are from the created average point. The respective buffers represent 50% precision, 68% precision, and 95% precision. The buffer distance was found by finding specific breakpoints for the buffers. To do this I used the averages generated by ordering the distance ascending, and then finding the average distance at the ObjectID breakpoints of 25, 34, and 48.

The accuracy for this study was calculated by first taking the average XY coordinates of all of the way points and using those values to generate a point. Then, we took the XY coordinates of the actual waypoint and measured the difference between the points. The results were that the two points were 0.68 meters apart. 

Module 6: Suitability and Least-Cost Analysis

 

Non Equal Weighted Map

Equal Weighted Map

The Maps above showcase the suitability of sites for development. Warmer colors denote less suitable whereas cooler colors denote preferable development sites. The maps were created by reclassifying raster data and then creating a weighted overlay map. There is an equally weighted map and a map with alternative non equal weights to showcase the difference in results.

The map above showcases potential black bear habitability corridors between Coronado National Forest. The corridors were generated by combining variables like distance to road, preferable landcover, and elevation. Then a weighted overlay was used to find the combine the variables. Afterwards, cost distance was used to find paths between the national forest polygons. Finally, a corridor analysis reveals the proposed paths for black bears.