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 sm...

The purpose of this lab was to create a map and tour in Google Earth using layers from a previous ArcGIS Pro lab, the Module 10 Dot Density lab. In order to convert the ArcGIS pro layers from the previous lab into usable files for Google Earth, I used the Layer to KML tool. I converted 3 different feature layers - Counties, Surface Water, and Population - to KML. These layers were then added to Google Earth and placed in a separate file folder for the lab. In order to finalize the dot density map to share with others, I added a legend. To add the legend I created for this project in ArcGIS Pro, I captured the image using the Snipping tool and saved it as a PNG file. I then zoomed into the area I wanted it in Google Earth and used the Image Overlay option under the Add drop down menu. I then scaled and oriented the image as needed. In order to change the order of the layers, I right-clicked the layer and under properties, and changed the Altitude. In order to save the whole map to s...

The purpose of this lab was to georeference unknown raster images of the UWF campus to known vector data, digitize new line and polygon features, create multiple ring buffers and overlay data in a 3D environment. To create the first map, I georeferenced two unknown rasters using the Control Points tool. For each raster, I created 10 control points, keepings the RMS error low. For the second raster, I used a 2nd order polynomial transformation for a better map appearance. I then digitized a new line feature for the new campus road and a new polygon feature for the new gym. Finally, I used the Multiple Ring Buffer tool to create a conservation buffer around the eagle's nest that corresponded to FWC requirements of 330 ft and 660 ft. The second map is a 3D overlay of the first map (without the eagle's nest). In order to create the 3D effect I used lidar data from USGS National Map Viewer. To convert the lidar to a DEM, I used the LAS Dataset to Raster tool. I then used the DE...

The purpose of this lab was to explore and visualize data in 3D scenes and maps. 3D maps and scenes can be helpful for visualizing the real world. They also allow us to ask and analyze different questions, such as the effect of date and time of date on illumination and shade in an area. Sometimes investigating a certain set of data in 3D allows us to have a different perspective or gain different and new insights that cannot be answered in a 2D setting. Applications for 3D maps are endless, including showing the impact of a new building in an area, realistically displaying a transportation route through a city, over a country or even globally, or even visualizing subsurface features such as wells, pipelines or fault lines. Although 3D maps have wide ranging applications and they suffer from the same pitfalls as 2D maps, navigating them can be initially cumbersome or difficult and sometimes they can be more difficult to interpret initially, depending on the data being displayed. ...