Stay indoors for high Smerg Levels!
Thursday, October 30, 2014
Term Project Proposal
Term Project Proposal
For my final map I was interested in creating a dot density map for planned housing developments in the Dulles planning subarea of Loudoun County. I chose this topic since, I've live in the Dulles area of Loudoun County for more than a decade and I have seen the population go from under 10,000 people to close to 60,000 in little over a decade. There are currently around 19,000 housing units in Dulles as of 2014, as estimated by the Loudoun County Government compared to just over 6,000 in 2004, with over 12,000 to come.
The Dulles area remains one of the fastest growing subreas in Loudoun county and has become the second biggest sub area in terms of population in 2014. As a result, much of the older rural agricultural infrastructure has struggled to keep up with this growth (I've seen my commute get worse within the past four years- close to 15,000 new neighbors within that time). The county and the state of Virginia has spent over $200 million dollars on just two projects in order to better improve infrastructure of area, with many smaller projects and many more to come.
As a result, I was interested in doing a dot density map reflecting current housing units and the planned housing units.
Here are some examples produced by Loudoun County's GIS department:
Change between 2010 and 2020:
These maps use a dot density style of mapping, but the dots are placed randomly within each zone instead of taking into account the actual density of housing units of each area (The above maps also reflect population- not housing units). As a result, I would like to tackle that issue by more accurately placing the dots more closely based on actual developments and planned housing units (via the many available developer site plans and existing map images of communities).
For the base map I plan on using a regular Loudoun County base map, but zoomed in on the Dulles region of the county. For reference I plan on using this planning sub area map to define the region I'll be working with.
The data is publicly available through the Loudoun County Government website with current estimated populations by subareas and planned/approved units by subareas (both from 2014).
http://www.loudoun.gov/index.aspx?nid=3188
http://www.loudoun.gov/index.aspx?nid=3249
The first goal will be to finalize the base map, then to review the pre-existing population centers to place the first layer of housing unit dots. Afterwards, then the plan is to review major approved projects and their site plans to recognize where the heaviest planned development will be, and then place those on the map. Finally, style elements will be implemented at the end.
For my final map I was interested in creating a dot density map for planned housing developments in the Dulles planning subarea of Loudoun County. I chose this topic since, I've live in the Dulles area of Loudoun County for more than a decade and I have seen the population go from under 10,000 people to close to 60,000 in little over a decade. There are currently around 19,000 housing units in Dulles as of 2014, as estimated by the Loudoun County Government compared to just over 6,000 in 2004, with over 12,000 to come.
The Dulles area remains one of the fastest growing subreas in Loudoun county and has become the second biggest sub area in terms of population in 2014. As a result, much of the older rural agricultural infrastructure has struggled to keep up with this growth (I've seen my commute get worse within the past four years- close to 15,000 new neighbors within that time). The county and the state of Virginia has spent over $200 million dollars on just two projects in order to better improve infrastructure of area, with many smaller projects and many more to come.
As a result, I was interested in doing a dot density map reflecting current housing units and the planned housing units.
Here are some examples produced by Loudoun County's GIS department:
These maps use a dot density style of mapping, but the dots are placed randomly within each zone instead of taking into account the actual density of housing units of each area (The above maps also reflect population- not housing units). As a result, I would like to tackle that issue by more accurately placing the dots more closely based on actual developments and planned housing units (via the many available developer site plans and existing map images of communities).
For the base map I plan on using a regular Loudoun County base map, but zoomed in on the Dulles region of the county. For reference I plan on using this planning sub area map to define the region I'll be working with.
The data is publicly available through the Loudoun County Government website with current estimated populations by subareas and planned/approved units by subareas (both from 2014).
http://www.loudoun.gov/index.aspx?nid=3188
http://www.loudoun.gov/index.aspx?nid=3249
The first goal will be to finalize the base map, then to review the pre-existing population centers to place the first layer of housing unit dots. Afterwards, then the plan is to review major approved projects and their site plans to recognize where the heaviest planned development will be, and then place those on the map. Finally, style elements will be implemented at the end.
Thursday, October 23, 2014
Lab 7: Proportional Symbol Map
Week 7 Blog Post: Proportional Symbol
This is an interesting infographic-proportional map showing the amount of carbon released by a countries. This map is a cool way to almost form a map purely using proportional symbols instead of the regular shapes and forms of countries.
Tuesday, October 21, 2014
Lab 6 Blog Post: COLOR!
Even though this is highest JPG quality, there are still visual differences in the quality of the web and the printed version. The printed version has neat and clean color fill versus the grainy look of the jpg version of this map. The background fill of the neat line looks slightly different and not as constant in the printed versions (probably due to the quality of the printer). Most of the colors remain the same, but the lightest color appears slightly darker in print (making it more visually different from white and more pinkish). The darkest color is also slightly darker in print as well. Finally, the legend labels are still visible in the printed version unlike this web version that is harder to read. Perhaps to improve the quality of the web map, I would try out different formatting and perhaps increasing the lightest color and making the most dark color slightly lighter.
Tuesday, October 14, 2014
Week 6 Blog Post
A colorful yet simple map detailing the continents of the Earth.
Found on: http://www.thecitrusreport.com/wp-content/uploads/2012/01/www.owengatley.jpg
This map I find uses a subtle amount of color to fill in the continents, while using brighter and contrasting colors to detail each of the features unique to the regions.
Found on: http://www.thecitrusreport.com/wp-content/uploads/2012/01/www.owengatley.jpg
This map I find uses a subtle amount of color to fill in the continents, while using brighter and contrasting colors to detail each of the features unique to the regions.
Thursday, October 9, 2014
Lab 5: Classification
LAB 5: Classifying Data
Thursday, October 2, 2014
Week 5 Blog Post!
A Choropleth map representing the percentage of senior citizens between 2014 & 2050. Really interesting to see the dramatic changes in many countries and their aging populations.
A lot of other cool data maps/infographics can be found on the source website: http://www.helpage.org/global-agewatch/population-ageing-data/population-ageing-map/
A lot of other cool data maps/infographics can be found on the source website: http://www.helpage.org/global-agewatch/population-ageing-data/population-ageing-map/
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