Public Launch

Note: The data presented here represents preliminary findings and should not be used without written permission from UCLA. This is a student draft of the data and is not to be used.


Reducing greenhouse gas emissions by reducing electricity consumption is a priority of the state of California. In 2009, California implemented SB 375, which requires Metropolitan Planning Organizations (MPOs) to create Sustainable Community Strategies to address these goals. Our team, Take Electricity Seriously, Los Angeles (T.E.S.L.A.) is proud to announce the official public launch of an electricity consumption map for the City of Los Angeles (City) to give a more complete overview of where and how electricity is used. Normally, only utilities know how much electricity is used and where it is used. Producing this map has the potential to greatly impact energy policy in the City and eventually throughout the State. This map has a detail of data that can assist policymakers in their understanding of implications of electricity sustainability requirements and goals. Once results have been approved, we plan on this map being utilized by Los Angeles residents to clarify and illuminate where the major power consumers are in the city.

Website Development

Our website went through many iterations. One of the biggest challenges was deciding on how to simply and clearly display a lot of information and interactive options. Another design development process was picking the color scheme. Below, you can see our wireframe ideas and some of the color options we tried when we deciding on our data presentation.

First Vision/Brainstorming:

Second Idea:

Midterm Project:



Final Presentation:


Data representation:

Option1- Too green

Option 2- Too beige

Option 1 million- Juuuuust right!

Team Members

Jacki- Technical Genius and Principal Dreamer

Hailing from Kansas City, Jacki came to UCLA’s Urban and Regional Planning program and hit the ground running! She has worked for The Institute of the Environment for three quarters and was our liaison between our client (The Institute of the Environment) and our team. Jacki’s data analysis and ESRI GIS skills were a great addition when we were figuring out how to graphically display complex information.

Kristen- Energy Super Star and Data Cruncher

A local of Southern California, Kristen grew up with an interest in Los Angeles happenings. As an undergraduate, Kristen studied residential energy consumption and feedback technologies to increase conservation. Her knowledge of ESRI GIS and electricity measures were critical to the decision-making process regarding data analysis.

Kyle- Math Extraordinaire and Voice of Reason

Kyle is a coding wizard. Kyle hails from Anaheim, California but spent his undergraduate years in New York. As a civil engineer, Kyle was a great asset in validating our methodology and processing complex levels of data. His linear thought process helped us make our dreams and visions a reality.

Zhongbo- Creative Director and Voice of the People

Zhongbo makes the world a better looking place wherever she goes! Originally from Jilin, China, Zhongbo has a degree in civil engineering and is currently concentrating in Design and Development at UCLA’s Urban and Regional Planning program. Her ability to inspire created an engaging interface that is user-friendly. Chances are, if you saw a subtly cool design element, it was her inspiration!

Evaluation of Our Website

TESLA went through several revisions and experimented with various concepts and designs in order to make the user experience friendly, yet informative. We wanted to keep the basic user interface simple and easy to comprehend since the data being displayed is complex. In order to do this we have two separate tabs for user features, the basic option is a simple search bar where the user can search for various locations within the City. This keeps the map focus on its primary function, which is to display the EAZs and allow users to click over various sections of the map. The other options are in an advanced tab where the more nuanced and informative functions are kept such as the other years, percent change, land uses, and neighborhood energy uses and boundaries.  One function that we were not able to incorporate due to unforeseen errors and search limitations was the radius summary function. This was a complicated feature that would have allowed users to see the energy use within a certain distance of their selected EAZ. Due to time constraints we were also not able to tile all of the EAZ years down to the furthest zoom level. With more resources and time we hope to be able to expand upon this website and fill in some of these gaps.

Looking forward, we will add water data and natural gas data to the map. Through further cooperation with the utility companies in Los Angeles, we hope to obtain hourly data at the parcel level. This will add a whole new level of complexity to the website and allow policy makers and utility companies to pinpoint how seasonal and peak hour changes effect the City’s electricity consumption. Eventually the scope of our project will expand to Los Angeles County, providing a more holistic look into Southern California’s energy use.


Our Website- Technical Requirements

The main goal of our website was to creatively and simply display a large amount of electricity data. There were over 150,000 Energy Analysis Zones (EAZs), each with numerous pieces of data attached. Our website features several interactive features. When the website loads, the user sees a map with colorful polygons throughout the City of Los Angeles. Each polygon represents and Energy Analysis Zone, which is at the Zip+4 unit of analysis. When the user clicks on a polygon, he or she opens up an infowindow that shows electricity usage over time (in kWh/year), the dominant land use of the EAZ, and the EAZ identification number. If a user clicks on a part of the map that does not have electricity data attached to it (ie- the user does not click on an EAZ), a warning infowindow notifies the user that the website does not have data collected for that region.

Showing electricity consumption throughout the City is important, but it is also valuable for users to be able to evaluate how electricity use has changed over time. Users are able to view electricity data for the years 2005-2010. Also, there is an additional feature of being able to view the average annual change in electricity consumption. When the user clicks on the “Yearly Change” radio button, the EAZs on the map change colors to reflect an increase or decrease in consumption. Also, the scale at the bottom of the page changes to reflect the new color scheme.

We included the following…

Interactive features:

  • Geocoder- Enables users to search for a specific address or place and find out several pieces of information, including what EAZ it is located in and what the EAZ’s electricity consumption is.
  • Land Use dropdown- This feature enables users to view EAZs with a specific dominant land use. These Land Use types included Commercial, Industrial, Single Family Residential, Multi-family Residential, Mixed Residential, Other, and Not Available.

Custom Functions:

  • Google Charts API- using Google Charts API, we created customized column charts to show electricity consumption over time. We displayed the data in an infowindow so that it is visible when a user clicks on an EAZ.


  • EAZ electricity consumption by year- This is the bread and butter of our project. The electricity use by year is the default setting that loads when our website loads.
  • Average annual change- This layer shows the average annual change (%) in electricity over time. This was calculated by finding the slope of the data from 2005-2010. As more data is added, this section will be revised and updated to show a more accurate picture.
  •  Neighborhood council totals-The electricity use of each neighborhood was totaled to show users a more aggregated picture of electricity consumption in LA
  • Show Neighborhoods- For reference, users can toggle the Neighborhood Councils layer on/off to display the boundaries for neighborhoods in Los Angeles.

TESLA Update- Week 9

Progress is slow and steady right now. We have finalized almost all of our GIS layers and they are ready to be tiled! The ones that we have completed include: energy use for the years 2005-2010 and energy use by land use. The one layer that we are having difficulty with is the “percent change.” We used an excel document to calculate the average annual percent change in energy use for each EAZ, but when we try to join this data with the EAZs in ArcGIS the program shuts down. We think that the problem lies in the titles of our folders, which include spaces! Such a rookie move, but easily done!


Here are the other features we have been working on:

  1. Adding a neighborhood council boundary layer that can be toggled on/off
  2. Radius Summary –> on click or search. Features might include: 1. a pie chart showing the dominant land use of EAZs within a certain radius and/or 2.  the sum of energy use within a radius
  3. Google charts as info-windows that include a barchart for energy use over time when  the user clicks on an EAZ
  4. Simple Layout- we are still deciding the final layout. Right now, the basic electricity map will have the EAZs with 2010 electricity data. Users can click on the map and access the google charts infowindows that have electricity usage for the EAZ, electricity usage over time, and the dominant land use. This layer will have a geocoder search bar for a user to input his/her point of interest. Also, they can toggle on/off the neighborhood councils outline.
  5. Advance features- This layer will include the electricity use as toggable layers for 2005-2010. It will also allow you to filter electricity use by the dominant land use so that the user can only see the electricity use for Single-family residences or Manufacturing. Another feature will be the radius summary.

As of right now, we have not made any changes to our wireframe.

TESLA Update Week 8


1.     Tiling-

We want to be able to have the polygons show… but we are also aware that tiling 6 years worth of EAZs could take DAYS.

Prep steps:

  • Need dominant land use data for each EAZ
  • Make sure each year’s data is attached (so that we can do a bar chart for kWh used over time)
  • Need to establish breaks/ “buckets”
  • Establish color scheme

Potential/ “Wishlist” for tiling:

  • General electricity use of LA City by EAZ (2010 data)
    • Potential hack= tile each electricity breakdown separately (ie 0-100,000kwh, 100,001-500,000 kwh, and 500,000-10,000,000 kwh) so that we can toggle the layers on/off. This requires a lot more tiling though .
    • Highest Break
    • % change (statistical analysis) per EAZ
    • Electricity use by census tract instead of EAZ (so it’s more aesthetically pleasing when zoomed out) à BUT, do we need to do highest break/% change/ land use tiled for each then????
    • Land use à tile each layer of land use (ie- commercial, residential, etc)



  • General energy use of LA City by EAZ (2010 data)
  • % change (statistical analysis) per EAZ

2.     Google Charts API

  • We want to have historical electricity use per EAZ as a bar chart
  • We want to use our radius that we created last time to create a pie chart of the dominant land use per EAZ within a specific radius (ie- for all the EAZs within 1 mile radius,  60% have a dominant land use of residential and 40% have a dominant land use of commercial) 

 3.     Reverse Geocoding

  • It would be nice to have our “click” on the map show an actual address or neighborhood (neighborhood might be above our pay grade)

 4.     New/old tab

  • Since it’s difficult (and by this we mean IMPOSSIBLE) to query info to show up/ disappear from ArcGIS, we are considering keeping the dots from our midterm  and having them in a separate tab from the arcGIS tiling layer tab. Our electricity breakdown would be the same divisions, but it just offers another way of looking at the map 




Wireframe/Sketch: Our website will closely resemble the midterm project…. the main change will be on user friendliness. We will have the basic functionalities as the “preset” map but then will also have an advanced options. Therefore, those that want to do a cursory glance of Los Angeles Electricity use will be able to do so without having to wade through a lot of other options.


Struggles: The color scheme for our tiling is a little bit tricky. We have tried a variety of options including….

Variation1: Too much green, doesn’t show electricity variation.

Variation 2: Too much beige

Variation X (we lost count): When zoomed in, this looks like the army’s new camo…. (obviously not ideal).


Stay tuned for our final tiling product and the decisions we make regarding colors!!!!

Week 7 TESLA Update

Since our presentation to EY ventures, we have been working on preparing for our Final product. This week consisted of a lot of brainstorming and re-envisioning. We also presented our preliminary website to the Institute of the Environment and they were very pleased with our initial work.Their major requests are

  1. Include ArcGIS polygon layers
  2. Include building data (we are waiting for UC Davis to send us this data)
  3. Possibly include an energy buffer that sums use within a certain distance

Our midterm project focused on the “bells and whistles” to show off our coding ability. Now, we need to trim some of the features in order to focus on the main point: our data. The purpose of our project is to create an interactive map that displays electricity usage in Los Angeles. Therefore, some of our features might not be suited for this goal and they might actually distract the user. For example, the LEED buildings might not be an important layer to have (especially if there is no argument we can make regarding their importance).

We plan on meeting with Yoh and/or Ryan this week to discuss the ArcGIS tiling of our data. Since we have 6 years of data, we need to decide how we want to symbolize it. Our research affiliates at UC Davis are deciding the “category” breakdown for energy use. Once we know this we can create the final GIS shapefile and upload it to the server. We think it is best to tile it at two levels- one zoomed in to provide a detailed focus and one zoomed out to give an overall picture of electricity consumption in LA.

We will also receive the parcel data and building use data. Once we have this information we will be able do summary statistics to tell a more complete picture of electricity usage.

One of our biggest challenges will be to decide how we want the GIS layers to interact with everything else. Since these layers are static we are not sure how functionality of searches or toggles will work. We’re thinking that we might keep the Google Fusion Table layer as small dots in the centroid of each polygon shape so that there is a clickable function to show graphs and summations. Hopefully, discussing our options with EY will help provide some clarity and will spur more innovation.

Week 7 Westside Connection

If you would like to see the map in a separate tab, please click here.

The Westside North-South Connection website has gotten a “face lift” this week! Some major changes (and challenges) to this week’s website are as follows:

  1. ArcGIS layers- This week, thanks to the addition of ArcGIS server space, I added two demographic layers. I was surprised how easily I remembered how to access TIGER Files and Census data from American Fact Finder 2. Formatting the data and joining the files in arcGIS was not nearly as painful as I remember it being last quarter! However, when I tried to upload my files to Whippet they were not showing up. I realized that I had to export my joined file as a new shapefile and THEN upload it to Whippet. This is common sense (I had a “duh” moment) but it took me a bit of time to figure out.
  2. ArcGIS layer toggling- Another “fun” challenge was the toggling of ArcGIS layers. I worked with Erin and figured out that I toggle them as single layers and not arrays. I did notice that this does not always work as smoothly (or as quickly) as I would like, but I think this is due to limited server capacity (although, I am willing to accept blame if my code is hacked together).
  3. New format- The Westside Connection website got makeover! It now has tabable navigation. I also added in an address locator search bar.
  4. Uncaught references- Bootstrap is funky! A lot of times it will work perfectly fine but every once in a while it will say that Bootstrap’s call is not defined. Normally, refreshing does the trick!

Los Angeles Electricity Consumption Map- Beta Launch!

The Launch

We are proud to announce the Beta Launch of T.E.S.L.A.’s Los Angeles Electricity Consumption Map! The website features an interactive map of the City of Los Angeles. The main feature is the electricity consumption of Energy Analysis Zones (EAZs). The EAZs are specially-designed by research-affiliates at UC Davis and map the energy consumption at the zip-plus-four level.

Other features of the website include:

  • Geo-locator: This feature allows users the ability to search for energy use around a specific location.
  • Historical Data: The data collected includes electricity consumption over 6 years (2005-2010). Users can view each year to compare how electricity use patterns in the City of Los Angeles have changed over time.
  • Radius: This feature allows the user to specify a certain radius (ranging from 1/2 mile to 5 miles). Currently, this feature draws a circle around  a specified location to show electricity use in the surrounding area. Eventually we want it to calculate the total electricity use for all of the EAZs within that radius.
  • Electricity Level: This features allows the user to search for high-consuming EAZs.
  • LEED Building Overlay: Using data from the US Green Building Council and the California chapter, we created a layer to display where the LEED buildings in Los Angeles are located.


Why Energy Mapping?

T.E.S.L.A.’s website is meant for electricity consumers. In other words, this website is for everyone, including Los Angeles residents, utility companies, policy makers, and researchers. Providing information about electricity consumption is useful because it illuminates behaviors. Energy use is often an ambiguous action and is difficult to comprehend. By using a map to visualize how energy consumption is dispersed throughout the City, people have the ability to make more informed decisions.


Evolution of the Website

The Los Angeles Energy Consumption Map website has evolved considerably since we first announced our plans.  The main differences between our initial brainstorming and the midterm product are in the website design. We added more interactive features than we previously envisioned. Also, our EAZs changed from polygons to dots so that we could increase the functionality of our website. Please refer to our previous blog posts to see more detail about our website progression.


Team Contributions

The T.E.S.L.A. team worked together to make the website as user-friendly as possible. As a team, we collaborated on brainstorming, site design, implementation, and launch. Bellow we describe the unique contributions from each team member:

  • Jacki: As our Technical Genius and Principal Dreamer, Jacki was heavily involved with the data set. She worked with the Institute of the Environment to obtain the data. Additionally, she worked on transferring the data from GIS files to Google Fusion Tables. Jacki also worked tirelessly on the Radius/Sum functions, which turned out to be a bit trickier than we initially thought!
  • Kristen:  Our Energy Super Star and Data Cruncher had her hands in a little bit of everything. She created the KMZ file and edited it to display the Los Angeles LEED buildings. She also worked on the Google Fusion Tables with Jacki and made the function for the Energy Level filter. Kristen oversaw the overall website progress and was the principal scribe.
  • Kyle: Our Math Extraordinaire and Voice of Reason sure had his hands full! He went above and beyond to make this website look amazing. Kyle designed our framework and worked with Zhongbo to style the website to Jacki and Kristen’s ever-changing whims. Kyle’s code is beautifully written and required many, many, many hours in the lab. Specifically, he made all of the interface “work” and made sure that it was interactive. He was also our tech support when we had bugs in our code that we couldn’t figure out.
  • Zhongbo: This Creative Director and Voice of the People finished TWO studio projects this week! Zhongbo created our flashy title and banner at the top of the page. She also worked with Kyle on CSS and Bootstrap styling.


Challenges and Head-Scratching Moments

We would like to say that getting to this point was smooth sailing. However, we did encounter a few rough patches along the way.

First, getting our data took more time than we foresaw. Since we didn’t know what we were working with, we had (naively) assumed that we would create maps using ArcGIS and import them as overlays into Google Maps. However, each map has about 150,000 Energy Analysis Zones and the files were much too large to import. Additionally, even if we could have imported them in their current state, the functionality of the website would have been limited because it would take about 15-20 seconds to load the window. Instead, we opted to transform our data (for the time being) into Google Fusion Tables with points at the centroid of each EAZ.

Another problem was that each year of data had to be broken into three Google Fusion Tables due to the data limitations. Jacki and Kyle (with the help of EY Ventures) had a wonderful time figuring out how to integrate all of the data. Additionally, for every function or call, we had to call 18 Google Fusion Tables of data. This added a considerable amount of code and increased the likelihood of typos along the way.

In terms of interactive functions, creating the radius was more difficult than we originally anticipated. Although it seems simple, this function had Jacki…and Kyle… and Kristen…and Zhongbo… and Ryan all scratching their heads for several days. We originally wanted to generate circles and sum all of the EAZ electricity use within a certain radius. However, after consulting with EY Ventures, we decided that this vision will be deferred until the Final Project.

Finally, our last head-scratching moment was with our Google Fusion tables. When we tried to change the buckets (which is Google’s word for classification of different values), the map would not update to reflect the new categories. Eventually, Jacki pulled through and figured out how to make the changes stick.


Moving Forward

For the final project we hope to build on the previous work. Some of the features we would like to incorporate include:

  • Tiling: Instead of calling ArcGIS with large files, we want to tile each year’s data so that it runs quickly.
  • Additional Data: Currently, the energy consumption map provides interesting information but it is not as applicable as it could be. We are waiting on more data that includes the building type for each EAZ. This will illuminate the different types of energy use (residential, commercial, etc) and will but the consumption in context.
  • Google Charts API: We plan on using Google Charts to display interesting information (such as historical energy use for a specific EAZ, building descriptions, etc).
  • Radius Summation: We want to be able to sum the electricity use in a given area. We will attempt for a second time to get this function to work… but this time we will succeed!

We are proud of our Beta Launch and hope that you find the website interesting and useful. If you have any questions or feedback, please feel free to contact Jacki, Kristen, Kyle, or Zhongbo. We would like to thank Yoh and Ryan for their extensive help with brainstorming and coding.

Week 4 T.E.S.L.A. Team Update

Things in the T.E.S.L.A. collaborative have been exciting lately! Last Wednesday we had a meeting with the Institute of the Environment and our partners at UC Davis. On the conference call we discussed our data set, variables, and important features of the website. Today (Tuesday), we received the data set that we need for our midterm project. We have been brainstorming design features of our website and are meeting tonight to make them functional!

One concern that we have is in regards to privacy of our results. We need to find a way to create a “draft” overlay watermark so that it is clear that our analysis is preliminary and not finalized (this is per the request of the Institute of the Environment). Also, we would like to password encrypt our website to limit access to EY Ventures and our team members (again, at the request of the client).

Update (Tuesday at 9:30 pm):

At our meeting tonight we discussed each of our responsibilities as we proceed.

Website components we want to include for the midterm:

  • Password Protection
  • Draft watermark
  • Dropdown for time
  • Integrating GIS map data
  • Aggregating zones

Website components we want to include for the final:

  • Address locator
  • Legends
  • Google Charts API
Team member responsibilities:
  • Jacki- GIS data integration w/ website
  • Kristen- LEED buildings KMZ file, help with GIS data, written portions of website
  • Kyle- Design website framework, add in each component
  • Zhongbo- Create T.E.S.L.A. logo, create the title banner that says “City of Los Angeles Energy Consumption” with scrolling pictures
 Questions for EY Ventures:
  • Our GIS files are very large (and this is an understatement)… where can we store them? Can we have a pw protected portion of the ftp site?
  • GIS- when we use graduated colors for energy use, we get an error message. What does this mean? Also, there are gaps in our maps even though the data is present.
  • Tilemill–> is this a good resource? What are the advantages and disadvantages? Can we integrate Google features in Tilemill? Does Google/GIS allow us to aggregate the regions as we zoom in/out?
  • How do we aggregate data as we zoom out? How do we do this so that it’s smooth and doesn’t take a long time to load?
  • HOW do we integrate GIS data into google maproom? We have LOTS of data and it needs to be fast- is this possible? What are our options?
  • Talk about the midterm and final requirements and possible variations from requirements (ie- switch the timeline for some components, API use, etc)

We also re-worked our website design

T.E.S.L.A. Vision Scoping Week 2

A.    Revised proposal topic and description

We will focus our project on the electricity use in Los Angeles, opting to forego the previously proposed co-integration of water use. This decision was motivated by the limited amount of time we have in the quarter, the limited (but growing) technical abilities of our coding team, and the desire to create an excellent and clear output for one issue rather than a mediocre and confusing output for multiple issues.

Since the concept, interface, and reception of the NYC energy map was so great, we will continue to use that project as a prototype for our own. Realistically, it would be an incredible feat if a group of people just a few weeks removed from their first “Hello, World [of web GIS]” could create an output which matched the beauty and information contained in the NYC map. So while we will temper our expectations accordingly, we still hope to craft a map which can be easily used by Angelenos to learn more about their energy use.  And, if all goes according to plan, we even hope to add information, features, and interactivity which exceed what can be found in the obviously brilliant NYC map.

B.     List of functionalities the site will provide

The bread and butter functionality of the site will be very similar to that of the NYC map. Spatial interactivity at different scales (neighborhood, zip+4, or even address) will allow users to explore, zoom, mouseover, and click a region of interest to learn about the annual electricity use there.

If time, data, and technical ability permit, we will implement our ideas on additional functionalities which could complement the primary electricity interactivity described above. These include:

  • Location-based searching:                   Like in Google Maps, this functionality would allow users to find points of interest by typing addresses or other identifiers into a search box instead of forcing them to drag and zoom the map around manually.
  • Type of electricity consumer:          While the NYC map integrates building types (e.g. residential, business, etc) into its linear modeling, it keeps that data hidden from the end-user. Since this inhibits comparison between two sites and obfuscates the justification for the end-use breakdowns, we would like to integrate the building types into the interface itself. The method for doing so is not yet determined, but ideas have been proposed to show the building type upon clicking, or highlight all buildings of a certain type when selected, or perhaps displaying the type and size of buildings on the map via graduated symbols (with a show/hide toggle, of course).
  • Temporal mapping:                  Depending on the temporal range and resolution of the data we use, it may be possible to integrate a type of timeline or dropdown box to allow a user to select a certain time frame over which to display the electricity usage data. Alternatively, an option to display the recent growth or decrease in energy use could be provided to show users the direction in which LA’s electricity future is headed.
  •  Cost/Impact/Etc Conversions:         While many people truly care how many kilowatts are being used at a certain location, there are countless others who may not know or care what a kilowatt even is. For those users, conversions could be used to translate the data into something more up their alley. For example, if reliable pricing data is obtained for the electricity being used in the city, we may be able to display electricity use in terms of dollars and cents for those of us who are counting pennies every day. For the eco-warriors, an accurate conversion factor could possibly be derived from a weighted average of LA’s energy sources to translate energy use into the impact of each parcel or zip on the environment as a whole. “Fun” conversions could also be used to make the map entertaining to kids – for example, clicking a parcel could show how many lightbulbs/Xboxes could be run for the amount of energy used, or bought for the amount of money spent at that location.
  • Marker overlays:                  Data sets could be toggled on or off to show interesting marker overlays. For example, locations of LEED buildings could be mapped by Gold/Silver/Bronze markers so that users could see how they relate to overall energy use (if our address-level linear model is robust enough to factor in those types of buildings.) On the other side of the spectrum, the heaviest electricity use areas could be shown so that people could become aware of the biggest drivers of electricity usage and cost in this region.

C.    Sketches or diagrams that “storyboard” the prototype’s usage

D.   A list of all datasets that the project will use

  • Yearly electricity data at the zip+4 scale to be provided by the Earth Institute, via the resourceful Jacki Murdock
  • Building type and floor area provided by county assessor, to be used in modeling


 E.     Milestones

  • BY WEEK 6:
  • Data collection
  • Data organization/calculations
  • Modeling to get address level estimates of usage
  • Map framework of Los Angeles at various scales (address, zip+4, neighborhood)
  • Alpha-testing of web interface features


  • Fully operational map interface
  • Documentation of models used
  • Bugproofing and user optimization


  • Data: will it be sufficiently informative and adequately error-checked
  • Modeling: will we be able to accurately model address level usage using zip+4 data; will we have time to optimize the model for Los Angeles
  • Interface cohesion: will all of the “complementary” ideas for additional functionality be a) feasible, b) useful, and c) intuitive.
  • Coding: will we know enough, soon enough, to code the data into an interactive map interface?