Project 4 Napa's Best Report

Report

Project 4 Napa Wine Analysis Phase

Analysis

Project 4 Napa Wine Prep Phase

Prep report

Project 3- Report

Site Report

Geospatial Revolution / Episode One

Project 3- Analysis

Project 4- market Zones

Project 1-Alameda

Project 2

Special Topics Metadata

Asthma

Demographics

Ozone

Particulate 2.5

Module 4

Supervised Classification

Module 3

students.uwf.edu/jaf36/RemoteSensing/rectify_pcola.xps

Module 2

The instructions had me a little confused on the locating pixel values with the inquiry tool.

Map 1
Map 2
Map 3

Week 1 challenge

www.students.uwf.edu/jaf36/pensacola1.xps

This week has been frustrating!!!

Same blog, New name for anew day

I can't wait to get thrown into the deep end. I'm looking forward to remote sensing this semester.

Final Map

Week 11 Google Earth

Location is approximately 2.75 Milles NE of Station AGMW3 - Algoma City Marina, WI and 35 miles NE of Green Bay, WI.

Based on an average wind speed of 12.12 m/s, a small migratory bird path, the lack of trees and other obstruction to block the wind path, and only a few buildings within a half mile radius this would be an excellent location for a wind turbine farm.

This locations proximity to Green Ban and the Upper Peninsula of Wisconson also make it a good location for the distribution of power collected by the turbibes, with a minimal loss of enery in the transfer.

Week 10 Isarithmic Mapping

It's amazing how most of the projects we work on now are really starting to click.

Week 9 Flow Maps

This was a fun mapping project to work on. It was a little time consumming color coding the countries, but still nice to play in Illustrator.

Week 8

This was an extremely time consuming exercise. The densities were hard to pinpoints as it was difficult to groups things.

Week 7

This was very time consuming for me, I wish I was more comfortable in excel. Now it's time for me to go enjoy some wine.

Week 5 Map Design

This map layout was created in Adobe Illustrator. I wanted to show where the counties were in relation to the state as a whole. In order to do this a used a call out from the highlighted areas on the state map.

WEEK 4-Typography

This weeks map focused on typography and layout in Adobe Illustrator. I actually found this to be very easy, since I was a graphic designer for 10 years prior to switching to GIS last year. The only problem I had was Google maps and NatGeo Maps had several locations in different places.

Week 3 Mexico

The first map of Mexico depicts the States and their population.

The second map is of Central Mexico, showing its urban areas, railroads, federal highways, and rivers. This portion actually caused me some troubles. Not with the map, but with the legend. I'm still not sure why the legend style changed, but I had to go in to the styles and play around to get them to dispay properly.

The third and final map shows the elevations in Central Mexico.

Week 3-Data Classification

Two maps are referenced for week three, first is a map comparing four data classification methods (Equal Interval, Standard Deviation, Quantile, and Natural Break),

Second is of the Quantile Data Classification.

The Quantile Data Classification map shows the widest distribution of the population densities of African Americans throughout Escambia County. The other maps focused more of the population density in only Pensacola, versus showing other areas of concentration within the region.

The good, the bad, the maps.

Good Map

This map from the 1990 census illustrates the population density on people of Hispanic origin. The legend clearly defines each color and what it means, allowing the viewer to understand that data being conveyed.

Bad Map

 

This map of the Spanish main, is very inaccurate. The land masses have no scale of relation to each other, and are poorly drawn. 

First Post

Welcome to my Cartographic Skills Blog.