Applications in GIS Module 6B

The second part of this weeks module focused on creating a corridor modeling the ideal locations for black bear travel between two protected areas in the Coronado National Forest, AZ. The factors considered for suitable travel zones were distance from roads, elevation, and landcover. Elevation and landcover rasters were given and were reclassified to fit the given criteria. The roads shapefile was ran through the Euclidian Distance tool and the resulting raster was reclassified to fit the given criteria. All were combined using the Weighted Overlay tool and the resulting raster was used as the cost raster in the Cost Distance tool with the two protected areas. The two resulting rasters from the Cost Distance tool were processed with Corridor Tool. A threshold was chosen to limit the suitable area to within 10% of the most suitable locations resulting in the corridor seen above.

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GIS Programming Module 4

The below images are the output of the script for module 4 followed by the flowchart for the script. This module covered manipulating and editing data in feature class attribute tables. What you see below is the result of creating a new geodatabase, copying all shapefiles saved to the module 4 data folder to the new geodatabase, a search cursor identify the name, feature, and population of all New Mexico county seat cities populations. Finally it prints out a dictionary that has been populated with the county seat names and populations. Output: Flowchart:

Module 1 Lab: Visual Interpretations

The focus of this lab was to identify features in aerial images using various techniques. The top map used shows features that were identified using one of four methods, pattern, shape and size, association, and shadows. The bottom identified areas using texture and tone from fine to course and light to dark.

GIS 6005 - Module 6

Because the data provided for the above map contained positive and negative values which ArcMap does not support for proportional symbols, the data had to be modified. All states with positive values were exported to a new shapefile and the same was done with states with negative values. This was all that needed done with the positive valued states. However, for the negative valued states a new field needed added to the attribute table and it had to be populated with the absolute value of number of jobs lost to convert them to positive integers. To prepare the data for bivariate visualization classes needed to be made. To do this, three class quantification was applied to each desired variable to divide each into three relatively equal groups. Then all values in the first group of the first variable were classified with an 'A', then the second group was given a 'B', and the third was given a 'C'. the same thing was done with the second variable however 1, 2 ,...

GIS Portfolio - Michael Malone

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