Friday, March 16, 2018

Module 3: Methamphetamine Analyze Week

We performed an Ordinary Least Square Regression  (OLS) Analysis to predict the accuracy of meth lab locations in the Charleston, WV, area.  Through a 6 Check process, the social and economic factors discussed last week were eliminated or kept to enhance the accuracy of the regression model.  The final OLS chart is provided below and only uses 10 variables.

The model produced a density map that is represented  by the following Standard Residual map.  Standard residuals visualize the accuracy of the model's predictions.

Friday, March 2, 2018

Module 3: Methamphetamine Prep Week

This week began our analysis to correlate socio-economic factors with the location of methamphetamine (meth) labs in the Charleston, West Virginia area.  Factors such as employment, race, urban/rural communities, etc., have all been shown to be related to a prevalence in meth production facilities.  These factors can all be derived from U.S. Census data.
We were provided with a shapefile of known lab locations that have been "busted" and a shapefile of census tracts for the region with either the social factors given or that could be easily calculated.  We set up those census tracts with the required attributes and have outlined the study area as can be seen in the following basemap.  The final product for Module 3 will hopefully assist local law enforcement in targeting areas that have social and cultural predispositions for meth production.

Friday, February 23, 2018

Module 2: MTR Report

The final product from our last three weeks of work is a story map that walks you through Mountain Top Removal practices in the central Appalachians.  It also provides an analysis of a specific study area within this region with a breakdown of area effected.  The analysis can also be seen as a visual from ArcGIS online from this link.  My story map journal can be found here.

Friday, February 9, 2018

Module 2: MTR Analysis

This week's assignment created a raster that only contained MTR areas.  This was produced by compiling and running a supervised classification on Group 6's landsat imagery LT50180352010172EDC00.  The ERDAS Imagine supervised classification produced 50 classes that were later designated either as MTR or nonMTR areas.  Once this raster was opened in ArcMAP, a spatial analyst reclassification was used to create the image with only MTR areas included.

Below is a screenshot of the final product.

Friday, February 2, 2018

Module 2: Preparation for MTR Analysis

Mountain top removal (MTR) is an environmentally vicious practice occurring across the Appalachian Mountains.  It is a highly effective method of coal extraction but it has dire consequences on the surrounding ecology and hydrology.  In this module, we begin the process of looking at MTR's effects in the central Appalachians.

In addition to creating this basemap for the analysis, we created two story maps to give people a better idea of what occurs during MTR.  The first story map outlines the 6 stages of the process.  Please click here to view this introductory story map.  The second story map is a work in progress.  It can be accessed here and will go into more analysis and discussion regarding the MTR impacts.

Wednesday, January 31, 2018

Module 1: Delivery of Evacuation Routes

We built upon our assignment from last week by producing route information for a hurricane evacuation to be distributed to the residents of Tampa.  These maps are designed for mass media in an emergency situation so their content needed to be kept simple and straightforward.   Directions (gathered from the Network Analyst Direction tool) where added to some of the evacuation routes.  Only major streets were labeled, warning text added where appropriate, and design layout kept to a minimum.  The maps that are going to be photocopied for widespread distribution were made in grayscale in order to have the best integrity upon reproduction.  The maps that are going to be advertised on television, were made in color. Below are two examples of the route maps:

Sunday, January 21, 2018

Module 1: Preparation of Evacuation Routes

We jumped back into the semester with the creation of evacuation routes for the Tampa, FL, area in the advent of a major hurricane.  This was an exercise using Network Analyst to create the routes based on time, restricted flood-areas, and scaled cost functions.  Four different routes were generated for four different evacuation scenarios. Scenario 1 created a hospital evacuation route from two lying hospitals to a hospital further inland.  Scenario 2 created an emergency supply distribution route from the U.S. Army National Guard.  Scenario 3 created a route from high flood prone areas to the Middleton High School shelter.  Scenario 4 determines the nearest shelter to evacuate towards for three general regions in the Tampa area.