Angelique's GIS Portfolio

The purpose of this lab was to create a Python script by manipulating string variables using a list, creating loops and conditional statements, and iterating variables within loops to control workflows. The final Python script had to be run using Spyder. The tasks performed by the script include printing my last name, running a dice game (the code was provided and debugged), populating and printing a list with 20 random integers from 0 to 10, and removing an integer (in my case 2) from the list and reprinting it. One run of my final script is above. I found it easiest to test individual lines of code and steps of the assignment in new, separate files in order to get them to run properly. There was a lot of trial and error for me in this assignment and I found creating the while loops the most troublesome. The first two steps of the assignment - printing my last name and debugging code - were the easiest. In order to print my name, I assigned my full name to a string, split the st

The objective of the first lab for the GIS Programming course was to become familiar with Python interfaces and run a Python script using the Spyder interface. In order to open Spyder, I opened the Python Command Prompt and typed "spyder". It is useful to note that if the command prompt is closed, Spyder will also be closed. In order to run the provided python script, I opened it and clicked the Run button. The process results appeared in the IPython Pane and Variable Explorer Pane. When run, the script created all the folders I will use for this course. The result of this script is above, showing all 8 module folders and the three folders within each. This was a fairly easy, straightforward lab and was a good orientation to the Spyder interface.

The purpose of this project is to geographically represent the mean composite SAT scores and participation rates by state for the entire United States of America (USA) as if prepared by the National Center for Education Statistics of the U.S. Department of Education for an article on high school seniors and college entrance scores by the Washington Post. The project uses the college entrance exam scores (SAT scores) for 2014 high school students and test participation rates for 2014 college bound seniors from the College Board and 2017 U.S.A. boundaries from the U.S. Census Bureau. The SAT scores are a mean composite score of all 3 test scores sections, averaged together by state.  The final bivariate map employes Gestalt's principles of visual hierarchy, contrast and figure-ground to show mean composite SAT scores as proportional symbols on an underlying choropleth map with percent participation by state. Both datasets were incorporated on one map utilizing ArcGIS Pro software.

For my final project I analyzed population sizes in known locations and habitat types occupied by the St. Andrews Beach Mouse ( Peromyscus polionotus peninsularis ) in Gulf County, Florida. In addition, I analyzed adjacent parcels within the St. Andrews Beach Mouse's (SABM) maximum dispersal distance. A detailed explanation of my analyses with map layouts can be found here: http://bit.ly/2XZuOTQ.  I performed GIS analyses in ArcGIS Pro on data collected from the FGDL Metadata Explorer website. I used the following tools in my analyses: Clip, Create New Feature, Calculate Geometry Attribute, Join, Multiple Ring Buffer, and Intersect. The GIS analyses of the St. Andrews Beach Mouse population in Gulf County, Florida are effective in showing the extent and types of habitat types occupied. The population sizes and dispersal patterns are also easily discernible and interpreted from the maps.   Spatial analysis indicates SABM occupies 28 miles of shoreline along two small areas