Deliverable 2 - long and tedius instructions but no difficulties in the tasks.

Deliverable 1

This was the deliverable 3 and 4 with density of crimes and a graph of times. In the lower right is the Population density for comparison.

The only problems I had was with the multiring bufffer that has been well documented, and the definition of "crimes" layer.

This is the base map of the Houston area. No problems other then a gangly road layer that had some redraw drag.

Ran into some problems with the demographic files.... but this was the base map for an analysis of a home search based on quality of life.

The write up was to assess home income, areas with kids the same age as mine, and proximity to work and boat ramps. The idea for the boat ramp was to live were I could paddle before or after work.

I provided a basic dempgraphic analysis for my work http://www.glynncounty.org/index.aspx?NID=780 and had no problems with joins and connectivity. The only difference between the two was utilizing the VM or utilizing Enviornments.

The error message that I recieved that left me bogged down in troubleshooting:

"Could not load data from the data souce. If you can correct the problem, press the refresh button and reload data. Possible problems can include bad network connection, Invalid field, etc An invalid SQL statement was used. Item not found in this collection.

The Plan, if it had not been such a personal time short week: Download and do the assignment on a work computer utilizing environments, second do the assignment without envirnments. These are the two aspects that I have limited experience with.

Anyway...

Weighted Values paragraph

The variations in the two weighted value maps provide the home buyer with some advantages and disadvantages when viewing each map representation. When the Doctor and Professor utilize the equally weighted search criteria map, they will have the advantage of viewing blocks that meet all three objectives first. The disadvantage to this view, however, is that it might inadvertently exclude an ideal search area due to a low rank in one area. The Second weighted value map places a greater importance on the distance to Phoenix College and Chandler Regional Hospital. The advantage of this is the map accentuates the blocks between the two work sites and provides extra weight to those blocks in between with median home value and population age. The disadvantage, however, is a block on the South East side of Chandler Hospital might reflect an optimal choice as equally as the North West side of Phoenix College. This however would mean create block that might have great driving times for one individual but not the spouse, meeting only half the distance criteria and minimally the age and house values.

Weighted overlay.... As you can see the optimal sites are a little different then the display. I think this is because of my lack of clarity of what the reclass was.... I had some outliers in my reclass, that seem to tweak the classes.

This is the four part harmony of the Maricopa House location for the good Dr & Prof.

I was clear on the directions and the direction it was going with the Raster, to Reclass, to weighted overlay.... but I had some difficulties on my reclass with the the housing and % age between 40-49. The reclass of 10,000 was clear on the distances... but I ended up kinda making it work with the other two... and while they reflect the data, I don't think the breaks are similar to the display map. This affected the weighted map in the ends not really matching that map display either.

Base Map of Maricopa County.

EIA

3D assignment

I hope I got this right....I am editing this first post for Applications in GIS from holiday in The Netherlands and all the layouts are in Dutch.... little tricky : )

The proposed Wind Farm Location in the Great Lakes meets the following criteria recommended by the BERR (Department for Business Enterprise & Regulatory Reform) site.

Wind Speed - The http://www.windpoweringamerica.gov/wind_maps.asp shows the area with a Resource Potential rating of Outstanding, Wind Power Density at 50 m W/m = 600 - 800 and Wind Speed at 50 m mph = 17. 9 - 19.7

Ornithology - http://www.npwrc.usgs.gov/resource/birds/migratio/routes.htm . The Canvasbacks migrate through the Southern Great Lakes area to the Chesapeake Bay area and a portion of the dabbling duck population migrates across the great lakes to the Chesapeake Bay area as well. This would leave a possible area on the southern migration route of the dabbling duck and the Northern Route of the Canvasback for wind farm site.

Noise , Shadow Flicker and Landscape visual - It is over 20 miles to the coast and adequate distance to satisfy all three of the "location to population" aspects.

Shipping Impact - http://www.greatlakes-seaway.com/en/navigating/map/index.html shows that the ports of Lake Michigan are on the South and Western sides of the lakes and would likely see minimal shipping traffic.

It should also be noted it is just off the coast of Holland, Michigan and Windmill Park, so the tourist aspects might be appealing to a community that already considers itself a place to visit for windmills.

Manual Interpolation of Contour lines with simple contor lines interupted with the value.

Bonus Map

I did the Dot Density over again, this time I used Arc Map to generate the dot density values. I stole some ideas from the ESRI map site to get the Florida drop shadow and to get the dot density to NOT place in the water. I started out trying to create a density map with the Spatial Kernel Density tool...but it bombed out on me. I then opted to link the excel GCT-PH1 spreadsheet to the Florida counties and created the dot density off the values at 1 dot = 10 of the value. I linked the the county layer to the excel sheet by auto generating a sequential number once the counties were in Alphabetical order.

The desire to re-do the dot density came solely from my dislike of doing things repeatedly... ie 2,000 plus dots, but I was not familiar enough with the dot density in the symbology tab to do it that way in the original lab. In addition I was to chicken to do a work around on the AI dot density, for fear of missing some escalating skill development that I would need in later labs.

I posted this last night without comment after a bad case of the "continual tweaking" set in. I went with a World Goode Homolosine projection with the Central Meridian altered to 100 West; to place the US in the middle. I included the grid more for worldly visual balance then necessity. I did more in AI then I have in the past... and as my confidence grew in "playing" with effects... I unfortunately mismanaged my layers and got into the time consuming mode of "fixing" stuff I had already set.

Gross national Product Non Contiguous cartogram. 65 % opacity on the circle to make sure Canada and Mexico are shown behind the US.. as well as the congestion of Europe.

Robinson Projection.

Gross national Product 2004, Continuous, linear legend with a gradien color scheme for gdp $$ amount.

I came up with a housing value of 3 per dot, 2,000 dots. I geographically placed the dots on limited knowledge of major city's, in hindsight uniform placement might have been better due to my lack of knowledge on Florida. A visual filter was used in order to not place dots in the wetlands... but then the wetlands were removed after it looked a little cluttered. Legend is just a statement of dot value.

I used European Lambert Conformal Conic as my projection and placed a 75% opacity on the proportional symbols. The legend is linear to enhance viewer proportional awareness.

I thought about placing some kind of symbol to show non-wine countries... but the more I looked at symbols... the more I thought it reversed the viewers focus. If I put a "non-wine" consumption symbol down.... I thought the map switched the primary focus to who does not consume wine.

This did not look pink yesterday :)

US National Atlas Equal Area was maintained for scale and minimal distortion, I utilized the ColorBrewer site to find the RGB #'s as well. The legend is horizantal with vaules increasing left to right. I used 5 equal interval classes as directed in the directions.

I chose the US National Atlas Equal Area, and a 5 class natural breaks on bipolar data. I thought the natural dividing point of the bipolar data was with the Nevada Outlier. I chose a 5 class diverging spectral color scheme, altering my colors per Color Brewer rgb #'s, to concentrate the viewer on the greatest "change" at the end classes.

I had labled the % on the states... but in the end it looked more distracting then aiding... It looked okay before I tweeked my color scheme then the label with a small halo looked like I was standing to far from the eye chart.

Map Composition - Lab 4 : South Florida Hispanic Population

Florida Keys Typography Lab

Natural Breaks

Four map data classification.

Lab 2 Question 5

Lab 2 Question 4

Lab 2 Question 3

Question 2 Lab 2

Question 1 Lab 2

Good map? Staying on the theme park ...theme (no pun intended) This map, has a legend that is actually labeled such (not always so for amusement parks) , symbolization by common identifier for food, bathrooms ect... and an actually intuitive coding system that clearly signifies if the ride is age appropriate. In addition to satisfying the visitor "need to know" ... were do I eat, were do I sit, what ride will make me scream like a baby, and were do I change my kids... they have incorporated the parks marketing desires simply, succinctly and in a non distracting manner.... the real theme is how to have fun not where to buy a souvenir shirt.

Bad Map? I am a bit stumped by the numerical "Get Active" circles with completely non-corresponding arrows. To put this in context it appears to be a UK theme park were one could collect stamps at various locations to win a free bike.... Hey everyone loves a bike... But I think there was an over exuberance in the marketing department to add a distracting number of picture bubbles as well.

I am going to have to go with the North west as well. As a Yellowstone naturalist back in the 90's I'd love to go back, so that covers the Montana, Idaho, Wyoming areas. Maine followed by my North West and North East Orange seem like idealistic places for a family with a banjo and a home full of animals... and well the South. I am actually a Low Country Boil...heavy on the Old Bay Seasoning with family from St. Augustine to Beaufort.

HelloWorld!

This should be interesting... My first blogging experience... writing or reading one.