All posts filed under: GIS

Analyzing Density Bonus Developments in the City of Los Angeles

On February 22, 2016, I started the GIS Specialization Course with UC Davis through Coursera. For those of you who have paid attention, I have started the final course of the specialization: Geospatial Analysis Project. As with other Coursera specializations, this is a Capstone project that is the culmination of the previous courses. For this project, I have to propose, design, analyze, and present a geospatial analysis project from start to finish. This week requires the creation of my project proposal, which is as follows (if any of you have suggestions on data sources and/or analysis, please feel free to comment): What is Density Bonus? Density Bonus is a program through which a developer can apply for a project with a unit density greater than that allowed by the current land use zoning, as calculated from unit floor area and floor area ratio (FAR). In exchange for the higher density, the developer must set aside a certain number of units to be affordable: this is by restricting the rent levels or sale prices to targeted income levels …

GIS Specialization – GIS Data Formats, Design and Quality

On February 22, 2016, I started the GIS Specialization Course with UC Davis through Coursera. Today, I completed the second course, GIS Data Formats, Design and Quality, in the series. For my second assignment, I was given parcel data and a raster containing elevation information on the town of Valmeyer. The entire town was moved to a location on a higher elevation in order to minimize flood risks. From the data, I calculated average distance from the new parcels to the old town. I also calculated slope and elevation for each of the new parcels (min, max, and mean values). This required the use of Spatial Analyst, which is a package that is new to me. Prior to this, I had not worked with raster data so it was a great learning experience. After completing the calculations and adding them to the attribute data, I created and uploaded the features as shapefiles to create a publicly accessible web map on ArcGIS Online. This is my map: Honestly, I love cartography and spatial analysis. I look …

Bakersfield Site Analysis

In January 2016, I was given the opportunity by Mr. Frank Tripicchio to work on a site analysis project on a property in Bakersfield, CA. The objective was to create recommendations on best uses for the property through demographic and economic analysis. To help me with this report, I brought on Oliver Yang, who worked with PKF Hospitality Consulting. The Project The site is located on the Southwestern corner of the intersection between Highway 178 and Comanche Dr., about 5 miles away from downtown Bakersfield. It is an undeveloped, five-acre parcel with two residential communities in the immediate area. I conducted spatial analysis with data from the U.S. Census Bureau and the City of Bakersfield to visualize the current building and zoning conditions in the area as well as the demographic distributions. We assessed community needs by looking at current services, businesses, and retail in the area and found a gap in the supply. As the site is fairly remote, there is a lack of businesses servicing the area. There are around 3000 residential rooftops in the surrounding …

GIS Specialization – Fundamentals of GIS

On February 22, 2016, I started the GIS Specialization Course with UC Davis through Coursera. Today, I completed the first course in the series. As I already have a couple years of GIS experience, the first course Fundamentals of GIS was more like a review of the basics. At the same time, I definitely learned new skills such as map package sharing and creating bookmarks. To complete the first course, I needed to create a map for the final assignment. The original data is at the precinct level. I had to aggregate the voting data for Proposition 37 and total votes to the county level. This is the map I created: I must say, this process took longer than I expected. I am definitely a bit rusty with the map-making. My spatial analysis skills are also rusty. At first, I used a different geoprocessing tool. Instead of directly using a spatial join with the intersect method, I took the long way around using Intersect, Merge, and then Dissolve. However, this presented issues because the data became more …

WLM Financial Marketing and Branding

During September 2015 to January 2016, I worked as a Marketing Coordinator/Analyst for the real-estate broker WLM Financial. Based in Inglewood, CA, the company focused on providing first-time home buyers with financial advice and loans needed to purchase their home. Using my knowledge of GIS and demographics, I identified the locations of their target markets. I proposed ten cities in the Los Angeles Metropolitan Area that they can look to expand marketing operations into. On the broker side of business operations, I looked at home sales data, mortgage data, and property prices to locate other states that WLM Financial can look to apply for broker licenses. After getting to know their operations, targets and goals better, I created a marketing and a branding plan for the company. In terms of brand building, I used their current website and Facebook page as points of interest and set goals to be reached by July 2016 and July 2017. I created a social media schedule for them to post select content and to generate more reach and views to …

Glendale Historic Downtown Redesign

Glendale Historic Downtown Redesign was an urban redevelopment and design project for the city of Glendale, Arizona. With an aging population and a struggling economy, Glendale has been trying to revitalize its downtown core for years (culminating in the hosting of Superbowl XLIX). This project was an attempt to address these issues by developing a plan, through development and policy, that will benefit parts of the historic downtown. Under the guidance of Professor Emily Talen and Dr. Michael Powe, we followed the Preservation Green Lab‘s methodology in examining neighborhood physical characteristics through a combined measure of building age, building diversity, and lot size. Using grid overlay analysis, we incorporated demographic data from the U.S. Census Bureau and identified and presented a neighborhood that had the greatest potential for revitalization through existing policy and design. In addition, we conducted field observations of the study area. Some of the issues we found was the lack of consistent frontage which reduced the physical attractiveness of the area. There was a lack of mix-used buildings, with would serve to bring residents and businesses together. In addition, …