Year: 2016

Data Analysis and Interpretation Capstone

So, this is the end. It took six months, but today I completed and was certified for the Data Analysis and Interpretation Specialization by Wesleyan University through Coursera. When I first started in October 2015, I had no idea how to write code in Python, let alone produce graphs and run statistical analysis. It has been a fun experience learning how to write code in Python and learning the different kinds of statistical methods. Ironically, I learned these after I left graduate school. One would think that these are method courses you would take in school. For the Capstone Project, I do wish the data was more complete and over a longer period of time. It is difficult to run analysis on data that only goes back as far as 1972 and in many cases, missing records for many years in between. The results can be quite misleading, as it pointed to fertility rate as being highly correlated with environmental sustainability. However, fertility rate, in many cases is contingent on many different factors that are both quantitative …

Capstone Project: Results

For those following my blog on my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. This is my introduction. Below is our third assignment – the preliminary results. Results Only the results for Burundi, Ethiopia, and Liberia will be reported, as the other countries demonstrated no change or very slight change in the ensure environmental sustainability index. Descriptive Statistics: The following table shows the descriptive statistics for the Ensure Environmental Sustainability Index for each of the selected countries, starting from the lowest GDP per capita group to the highest. The standard deviations are much greater for the lowest GDP per capita group compared to the others. In three countries, Seychelles, Canada, and Ireland, no change in the value of the index was observed. It would appear that countries that reach a certain GDP per capita will have achieved a mean Ensure …

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 …

Capstone Project: Methods

For those following my blog on my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. This is my introduction. Below is our second assignment – the data management and analysis methods. Methods Sample: Out of the 211 World Bank recognized sovereignties, 8 (N=8) were chosen for this study. Countries that has the Ensure Environmental Sustainability goal were selected: three countries with the lowest GDP per capita (Burundi, Ethiopia, Liberia), three countries with the highest GDP per capita (Canada, Ireland, United States), and two from the median (Estonia, Seychelles). In addition to identifying associations between variables and the four sustainability indicators, this selection was used to also investigate how variable relationships differ in countries with varying degrees of economic development. Each country, depending on available data, has between 26 to 43 indicators for analysis with 36 years of data from 1972 to …

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 …

The Notes of My Life

Over and over I say to myself, I remind myself, I write myself. Into curves and straights, corners and turns without coming to an end because the past is never in sight and the present lingers for only a second. The future demands to be known with each stroke of the pen, it becomes present and is written into the past. The eternal struggle. Memories selected for harvest until a later date confirmed only when they are opened once again. That is not all, that is not all. There are those that remain in your mind but blanked out, slowly again by time. I feel the need to explore the depths of the lost chambers that echo within dreams. I feel the need of a flashlight into the wells of dark water long bathed in the moonlight. A moonlight that shone since the morning I opened my eyes. 7:45 AM the clock once read and will read again. This is a cycle, unending till you realize you have gone away from something at the same …

Capstone: Variables Associated With Environmental Sustainability – A United Nations Millennium Development Goal

For those following my blog since the start of my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. Below is our first assignment – the introduction to my final report. Variables Associated with Environmental Sustainability Using data provided by the World Bank, through DrivenData, this study looks to identify factors associated with the Environmental Sustainability Indicator defined as an United Nations Millennium Development Goal (MDG). Preliminary explanatory variables are Gross National Income, Forest Area, CO2 Emissions, Employment, Foreign Direct Investments, Household Final Consumption Expenditure, Adult Literacy Rate, Urban Population, Investments in Energy, and Energy Use. This mix of both economic and social factors will be examined for associations with the UN-MDG indicator of environmental sustainability. After the associated variables are identified, they will be used to create a model to predict data for the years 2008 and 2012. As a social/urban scientist interested …

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 …

Short Post: Biology and Life

I have been looking for a steady job now for almost a year now and one of the questions I get asked the most is why? Why am I pursuing or want to pursue a career in such and such? People really want to know where you are coming from and what your vision of the future is. Honestly, even though I know my answers, sometimes I have to look back to the beginning and ask myself why? Why am I now fascinated by the use of space in cities and urban environments? Why am I pursuing a career in understanding the urban? Like most stories, there is a beginning. As a young child, I was always chasing after butterflies, digging up earthworms, and collecting fish. Their movements and their features fascinated me. Metamorphosis, the transformation from an ugly caterpillar to a beautiful butterfly, captivated my imagination and in many ways it is a metaphor for life. I never though much of it until high school, where I met a wonderful biology teacher by the …