Project 2

Part 1
This first map shows the percentage of preserved trees in each of the five neighborhoods covered under this projects’ scope followed with a table detailing the associated savings in annual energy cost. This program, with continued funding, can continue to provide a substantial energy savings of 15,300.00 annually, improve the image and aesthetics of our homes and move Marin County closer to sustainability.

The actual estimates comprising this table are made from unground-truthed aerial data and average diameter basal height measurements. These totals could shift up or down and a more in-depth survey is necessary to provide a more accurate numbers; thus, the data is for generalization use only. Furthermore, a comprehensive ground survey can provide a secondary benefit of establishing more sites for planting and replanting or beneficial flora and site analysis of invasive and undesirable species. This opportunity could further increase both the values or energy savings, green space, tree health quality, carbon storage and allow for a more efficient use of funding by providing specific sites and GPS data to planting and removal crews.

This program can also provide generalized data on carbon storage and sequestration, both key stats in sustainability. These stats provide baseline data on how green space preservation and continued monitoring can reduce Marin County’s carbon footprint. Once a more substantial survey is completed a higher quality of data can be used to provide specific numbers for both of these figures and a plan can be made to identify sites for trees that process higher levels of carbon emissions. This will improve air quality, health for residents, decrease street noise all while improving energy savings and carbon levels. With continued funding this program will be integral in the process of locating areas that would benefit economically and environmentally from planting more trees; providing a better quality of life for all residents of Marin County.

Part 2

The above map show the purposed site for The Marin City center, as well as, its’ footprint overlaid over the current building. The Marin City Center will use approximately 8300.00 in total energy cost (70000 kWh). Many different factors go into this calculation so the total is for generalization purposes only. This cost can be offset by the planting of trees in the immediate vicinity as well as offsite mitigation. Simulated annual energy savings of one existing tree at different locations is estimated at 58 kWh/tree for the climate only averaged value for our region. This means 1210 trees would need to be planted for a full offset and 605 for a six month offset. This would mean that a 22 acre area would need to be replanted at a 28 tree per acre rate for the half year offset.

Special Topics Project 1

This may not be the flashest way to post but time constraints force as much.

Week 5 LiDar

This map went better than expected. once i got past the excel part anyhow. I knew i needed to do the title columns but i kept screwing up the tabs. Also there was a ton of lag time on the exporting of data and general computing time. Other than general frustration it was a breeze.

week 4 Image Classification

I had a lot of issues with this map. Nothing seemed to go smoothly from the lab exercise to the challenge. In the future some examples of what our data should look like would be really helpful. I felt like i was flying blind most of the time and just stumbling around.

Map

week 3 Orthorectification

Well the exercises were much harder than the challenge. But here it is.

Week 3 Map

Mod 2 Spectral Band Basics

I had a horrible time trying to figure out how to find specific pixels I understood where the information was and what it meant but not how to translate that into making the cursor move. That made the first map take quite a while. With the other two falling in pretty quick after.

Map 1: Lake
Map 2
Map 3: Shallow water

Map 1 Mod 1

Ok, nothing impressive here. I stumbled through this like a drunk through a M.C. Esher stairwell. But here it is all the same. http://students.uwf.edu/mpj2/MPJonesMap1Mod1.xps

Remote sensing

Huzzah recycling blogs is fun.

Final Project

The above maps shows the supposed correlation, where the states with higher participation rates tend to have lower scores. It also shows that students in the north eastern and middle states tend to have higher test scores.

Google Earth

The spot i picked is North East of Grand Rapids, MI near Lake Huron. The closest Dwelling is 1700 meters South and there is an airport 2000 meters north. This spot is within the Wind Density 300-400 50 m W/m^2 range and has a wind speed rating of 6.4 to 7. The location will allow for minimum impact with population but still allows for ease of access with major roads nearby. No shipping or transit will be impacted with this spot. Also, this location is in a much smaller migratory bird route than some of the areas around it. Slightly darker coloring and warning lights for the airport will maximize safety for all air travel.

week 10

I had issues with coloring but I hodge podged it together.

week 9ish

Hope this is right. I am awful with the line bending but everything else was easy.

week 8

This one wasn't a problem. Well, other than making me a bit cross-eyed for the day.

week 7

This is the first map were I added water feature labels and I added the other country shapefiles

for prospective.

assignment 6 part 2

Census division map is a go. No issues here. Took me a little while but It worked.

assignment 6 part 1

I like it. Its shiny. I only had one problem with making this. Maine disappeared and I had to reload the data. It was on the attribute table but gone from both views. I'm thinking someone stole it. Otherwise I have no idea.

My son was born last Wednesday at 3:44 am. I have been playing catch up since. Please take note that all assignments turned in, for the near future, will be produced from a sleep deprived individual. This picture is of my two boys together. The big one is Gabriel the Little is Eli.

Well with a huge amount of fumbling about here is my attempt at map creation with illustrator. You can shift select all the counties and color all at once. This is useful if your doing a lot of color change at once. I am not much of a color person myself so forgive any clashes. This is why my wife dresses me.

Here is the map of the Keys. I had a hard time finding Crawl Key. Google kept trying to tell me it was with another set of islands. I didn't think we had to do the legend but i figured i'd give it a shot anyway.

I used the natural break map as my classification of choice. The divisions started at smaller numbers and this allows the data to show differences in a wider range on the map.

I hope this is big enough to read the class breaks. Please let me know if it isn't and i'll post those as well. After all the reading i was dreading this assignment but I had no problems with it.

Bad Map

OK so not only does this make the U.S. look like it has a mad case of razor burn it also makes it impossible to draw any useful numbers from the presented data. The graphic gets in the way of the data and could be done much better.

Good Map

I first saw this map in the recent September issue of National Geographic. I really liked it then and so I went back to the issue for this assignment. This map is good because it gets the idea of the article across quite well with out overwhelming the viewer with information.

Small Steps

Trying this all out for the first time. Here's to hoping it works!