This was the final output of a Python Script which I wrote for a site suitability assignment as part of the final for my GIS 201 course. The object of the script was to identify areas within Washington DC which satisfied a variety of criteria about their proximity near to parks and public transportation and far away from highways and the airport.
This series of three maps was created for the midterm of my GIS 201 course. The first shows available hurricane shelters which were outside of the New Orleans flood plain, close to a major evacuation route and in a highly populated area.
The second map in the series shows the flooded parts of Louisiana after Hurricane Katrina and also the highways which were impassable due to the flooding. This analysis was created using model builder.
The final map in the series depicts domestic reptiles rescues which occurred in Orleans parish after the hurricane. For this analysis I designed a model which created concentric "doughnuts" radiating out from a centroid point. I created this tool because buffer analysis selects all points within a radius. This tool can refine that selection by identifying only the points that occur at a defined distance from the centroid. For example it can find all of the reptile rescues that are 10 miles or 3 miles from the animal protective services headquarters.
Proximity of Schools to the Proposed Hurricane Path. The analysis in this map of Louisiana was conducted using the Model Builder tools. In this model the proposed path of the hurricane is clipped by the parishes of the state. That output is then buffered with a variable value. The buffered area is then used to select schools near the proposed path of the hurricane.
This series of images was created for a classification assignment in a class I took called Remote Sensing and GPS. This image shows three different classification schemes for the same area.
Ghost Towns of Death Valley. This was a map I made for my Cartography final project. It uses free data from atlas.ca.gov and www.blm.gov/nv/st.../, as well as USGS DEMs. It depicts the ghost towns in Death Valley National Parkshows, and also shows a number of geographic elements including elevations, Mountains, and roads (some with very evocative names).
This is the map from my Cartography midterm project. It is uses free data from the Yellowstone national park. It depicts the campsites and their individual elevations.
This is a map of Area 51. The data is collected from free anecdotal information, as well as free state data.
This is the presentation image I used in a group project for my intermediate GIS class. Our project's aim was to show the vacant and abandoned properties, in the Point Breeze neighborhood of Philadelphia, and determine a development zone. We then looked at census data going back to the 1940's to determine demographic trends, as well as trying to get a demographic snapshot of today, in order asses the current development trends against historical data.
A basemap for the Point Breeze Neighborhood in Philadelphia.
Accidental Exposure - A workbook map, which I edited to show the relationship between residential properties within a industrialized buffer zone, and those outside of it that were effected by an hazardous environmental event.
An elevation map of Adams county PA. It was an attempt to show river formations using a color gradient based on the elevation. The data is free from PASDA.
A series of images trying to balance various raster and vector imagery.
Raster image processing I
Each color represents the orientation relative to the points on the compass.
Each color represents the orientation relative to the points on the compass.
Raster image processing II
The green is the area that can be seen from both vantage points depicted by the black triangles.
The green is the area that can be seen from both vantage points depicted by the black triangles.
The Florida Keys and the roads to get there.
Delaware County PA municipalities.
In case you were interested, here is some 5 year old demographic information.