Project 4-Report GIS and Transportation

Project 4 Report PDF

Project 4- Analysis GIS and Transportation

Write Up

Project 4- Prepare GIS and Transportation

What do you observe about the geographic distribution of households and their restaurant, liquor store, and wine purchases in Napa County?
Going by the maps it shows that normally areas with a larger total of households produce more wine purchases, than those areas that don't have as many homes.

What do you observe about the distribution of liquor stores and restaurants relative to these purchasing patterns?
Basically the same answer as the first question, areas with more households contain higher sales at restaurants and liquor stores.

Project 3- Report GIS and Economic Development

Project 3 GIS and Economic Development

This is my report of Project 3. No real issues on this project, everything was straightforward and didnt take a lot of time to finish. On to Project 4!

Project 3- Analysis GIS and Economic Development

The maps above are my deliverables for Project 3 Analysis week. The first map displays available locations for a new Better Books Store. The map also states that the Steiner store will be used as the model store. The second map compares drive time vs. household buying patterns for the current Better Books Stores.

Project 3- Prepare GIS and Economic Development

These are my maps that I created for Project 3 Prepare week. The first map displays 4 seperate Demographic Maps showing Avg Household Net Worth,College Percentages, Household Totals, and AVG Household Income. Included in all four maps are locations of Better Books Locations and Competitor Locations. The second map shows both store locations with a 1mile buffer surrounding it, also included in this map are Book Lovers Club locations and they are color coated to what store each club is affiliated to. This week was a breeze to complete and it felt good to be able to finish within a couple hours.

Project 2- Report GIS and Landscape Design

Project 2 Report Power Point

This my report for Project 2. Everything went well the first two weeks, and last week I had a couple hiccups on what numbers I had to use for the DBH table but other than that it went pretty smooth. Two projects downn three more to go!

Project 2- Analyze GIS Landscape and Design

These are two maps that I created for the Project 2 Analyze Week. The first map contains information calculated to show the total Carbon Storage and Carbon Sequestration of selected neighborhoods in Marin County. And the second map contains information presenting a map and graph of total tree cover in the same selected neighborhoods.

Project 2 Prepare- GIS and Landscape Design

Land Cover Classification MetaData

This is my map for the Prepare Week of the Landscape Design Project. This map shows zoomed in portion of Marin County Directly over Marin City. The map contains the county border, city border, an Orthoimage of the city, and any major roads that run through Marin City. The second map contains all the same components but I substituted my orthoimage with my classification image. Looking forward to Week 2, looks to be an interesting project

Project 1 Council Presentation Map

This is the map I would use to present at the next council meeting. It pretty much shows other maps that I've created but minus some extras that were not needed to show the base results of the analysis.

Part 3 Section 3

In Part 3 Section 3 we studied and analyzed information provided by Census Tracts to find the most populated tracts by the Black ethnic group. We also took a look at Toxic Release Points and Hospitals in proximity of those populated areas. This map pretty much is an overall view of the information that was studied and put together to find the areas most affected by Asthma and also the most probable Hospitals that could be targeted by these Asthma related problems.

Part 3 Section 2

In Part 3 Section 2 we studied and analyzed the Annual Asthma Rates in the San Francisco Bay Area by race and also compared those rates with other Air Quality factors. In map 1, it displays the annual asthma rates of the Hispanic and the African American ethnic groups, clearly showing that ashtma is a more popular health problem with the African American race than the Hispanics. In map 2, it displays the comparison of the annaul asthma hospitalization rates along with air quality factors such as ozone and particulate matter. And lastly in map 3 pretty much sums up the final results of the analysis of which race seemed to experience the most asthma related problems. And referencing back to map 1, it shows that Alameda County had the most cases of this health issue in African Americans. Included also in the map is a chart of the avg asthma rates.

Part 3 Section 1

In Part 3-Section 1 of the Public Health Analysis of the San Francisco Bay area in California, we studied and compared the Unemployment and Uninsured Rates of different ethnic groups. In the first map it shows the comparison of these different rates with the particular races, and in the second map it shows the same comparison but the only change is instead of comparing unemployeed and uninsured, I compared uninsured rates with the single mom population.

Project 1 Analyze- GIS and Public Health

This is a cloropleth map of the Asthma Hospitalization Rates in the San Francisco Bay Area between 1998 and 2000. This project is intended to analyze the effects of Asthma and other inhalation issues, to help local hospitals project the need for more help and amount of supplies that may be needed in the future.

Project 1 Prepare- GIS and Public Health

Particulate Matter

Asthma

Ozone

Module 5: LiDAR and Filtering Challenge

This is my map submission for the Module 5 LiDAR Challenge. The map image is a overhead photo of Pennsacola,Fl created using ArcGIS and LiDAR Technology. I some small issues while doing this challenge. First was trying to get the points to show up correctly after I had modified the column headings. And the other issue was that I forgot to change one fo the default settings from X to Z and it was making my raster show up as straight up and down colors instead of allowing it to look like an actual photo of something.

Module 4: Image Classification Challenge

Image Classification Lab Challenge

This is my map submission of the Module 4 Image Classification Lab Challenge. I didn't really have any issues with ERDAS this week. I was hoping the colors in my map were what they needed to be, I've seen a couple of other maps that look similar to mine so I think I'm on the right track.

Module 3- Rectification

Challenge 3
This is my map submission of the Module 3 Challenge, which is a Rectified Map of Pennsacola, Fl. This took me a couple trys due to the constant freezing of the program and having to start over and do it again. Other than the program being sluggish, the concepts that we are doing are pretty cool.

Module 2- Remote Sensing Science

Challenge 2- Map 1
Challenge 2- Map 2
Challenge 2- Map 3

These are my map submissions for the Spectral Characteristics Challenge. I'm still trying to get a good idea about how the new software works and also get a grip on all the band information and all other new concepts that I've been introduced to the past couple weeks. But hopefully within the next couple weeks before the class ends I'll have a much better understanding of it all.

Module 1 Challenge

Module 1 Challenge


This is a map of my very first map using ERDAS. It is just a basic map familiarizing me with the basics of making a final map with a north arrow, scale and a title.