Wine is good in Napa

Napa County Sales Prospects
The concentration of prospective locations is problematic for dividing sales territories. Outlying areas have long travel times, and more 'windshield time' for sales reps.
The Southeast census tracts, and pockets along the main traffic corridor, present the best opportunities for market expansion (based on hypothetical consumer behavior).
As a rural County, Napa offers a unique chance to exploit consumer behavior; perhaps the wineries themselves or adjacent commercial sites may be as advantageous as the more concentrated restaurant and liquor store locations in the population and transit area.
Allocating sales reps' territories should reflect this combination of concentrated sites and distant local wineries.

Napa Wine is Fine

Project 2 - Report

Marin City has high hopes for a City Center, and being 'green'. I've struggled with the economic issues, as they won't fly... Not uncommon re the environment Vs bottom line.


Marin City - Report

Project 2 - Analyze

The Second Project looks at the City of Marin, in Marin County, CA. Five neighborhoods are classified by the ratio of trees to other natural and impervious ground area. The amount of carbon stored, and the rate of carbon sequestration are calculated and displayed.

Project 1 - Prepare

Hi all,

Here are links to my Metadata for the basemap of the Bay Area.

Air Monitoring Stations

Bay Area Counties

Bay Area GNIS

Module 5 - Pensacola LiDAR Image

Well, here is a little slice of Western Florida. Look closely and you can see the natives frolicking in the surf (watch out for the tarballs). Other than the incredible IDW 'magic man' act (think Talladega Nights), it was strightforward. Now where did I put that rubric?

Module 4 - Pieces of the puzzle...

Can't seem to figure out the 'map making' parts of ERDAS, so here are the Legend and Histograms. Raster classification seems less alien now, and somehow worked. Merging Classes, not so much.

I'm curious to see how much of the same functionality is in Arc.

Module 4 - First draft

Here is the classified image, with an illegible legend. Back to ERDAS...

Remote Sensing Week 3

Back with another ERDAS masterpiece.

PensacolaRectified

Steep learning curve; wish there was more time, as I'm beginning to 'get it'.

Remote Sensing Week 1

Here's the link to my first ERDAS creation.

http://students.uwf.edu/skm12/Remote Sensing/Week_1_S_Murphy.xps

Sky

Flash! ACT Releases Student Test Scores

Amidst a struggling economic background and dwindling funds for education, schools across America are reeling in their attempt to leave 'no child behind'. The American College Testing Program, established in 1959, is a major player in evaluating high schools students' academic abilities. Typically, states with mandatory testing (Colorado, Kentucky, Illinois, Michigan and Wyoming) have lower overall scores, as not all of their graduates are college bound.

Week 11 Wind Generation Site

I seem to have lost some text along the way. Maybe due to the mean wind in excess of 5 meters/second, or the isolated location outside of migratory bird paths, access to the power grid and regional transportation. Un-texting is always difficult.

Isopleth Map of Georgia Rainfall

Here is my attempt at a 'hand drawn' isopleth map of rainfall in Georgia. I found manual interpolation difficult; several attempts and still not anything I'd present to a client... I seriously considered manually digitizing the ai layer and using Arc to draw the contours. I did learn more about the Pencil Tool in Adobe 'Irritater', and a keen appreciation of the folks at USGS that produced the beautiful Topo maps I've used for hiking.

'Bonus' Exercise - Classified Wine Consumption Map

Hi all! I enjoyed the research so much in producing my Proportionate Symbol Map in Week Seven (Wine Consumption in Europe), that I revisited it. I felt it may be misleading, as the consumption data was not standardized. In this attempt, I combined a Choropleth map of Population Density with a Proportionate Symbol layer showing consumption. Cypress appears completely awash in wine...

I drew this idea from the European Energy map in the ESRI Mapping Center. Cheers!

Flow Map of Immigration to the USA

Here is my attempt at a Flow Map depicting immigration by Continent. I struggled again with Adobe Illustrator... Each 'source Continent' was placed in its own frame in Arc, and retain their scale. North America is larger, to make it visually obvious as the destination.

Week 8 Florida Housing Unit Density

This map reflects the ratio of housing units (as reported by the 2000 Census) to buildable area; reported by Florida Counties. I chose to exclude wetlands (such as the Everglades) from the calculation, as the enumeration units could not be placed there. The area involved, with the vast delta in density, made it difficult to have a 'point' size visible in sparsely 'housed' counties, and not have a 'clot' in highly developed areas. I checked the spreadsheet values with the dot incidence in low density Counties and they correlate.

Week 7 Wine Consumption in Europe

This Proportionate Symbol map depicts national wine consumption in Europe. The data is scaled using the Absolute method, and is not a ratio reflecting population. I added the .xls data to the attribute table in ArcMAP after calculating the Symbol Size, and let Arc calculate the diameter of each symbol. The Legend symbols' diameter were adjusted in AI to increase the visual impact.

Choropleth Map 2

This map represents the population change in Census Divisions (contiguous groups of States - and Hawaii and Alaska :). Gray scale Choropleth representations are difficult to interpret, and would be a poor choice for a classified map. I would have preferred to add each State's Census Division to the attribute table, select from there and create shapefiles. This would assist the de-coloration process in AI, and provide a Legend of Divisions.

Choropleth Map 1

This map reflects the percentage that States' population changed between the 1990 and 2000 Census. Alaska's projection was changed to more accurately reflect the landmass (and their proximity to 'Russia'). Scale also varies, to allow more detail in the non-contiguous States.

Southern Florida's Hispanic Population

This is my map of the percentage of Hispanic Population in Southern Florida. I am gradually learning how to accomplish things in Adobe Illustrator, such as changing colors globally (without selecting each item), manipulating layers (or not), and trying to follow the map making guidelines. I would have liked to add some base layer items (major roads and cities) to add spatial perspective, but without coordinates...

The Florida Keys

Here is a very basic map of the Florida Keys. AI is so much fun!

I feel Quantile is the most appropriate classification for this data. The easily identifiable gradations focus the viewer's attention to varying densities, and the intervals are a fair representation of the distribution.

Here they are, four methods of classification. The most interesting part was learning to use multiple Frames. All maps share the same scale, so one iteration of the scale and resolution is adequate.

Example of a Good Map

This my example of an effective map. The Topic is obvious, the Legend reflects the important content, and the design has a well chosen color scheme (red indicating Floodplains that could threaten schools). The Portrait orientation is appropriate, given the North - South nature of the graphic.

Example of a Bad Map

This is an example of a bad map. It is not labeled effectively (even in Portugese), is rife with 'Map Crap' (witness the 'Indians' in the lower center), and is difficult to interpret. Christopher Columbus produced this map circa 1490 to support his belief that there was a direct Westbound route from Spain to the spice trade in Asia. Fortunately, he stumbled upon another land mass (the Bahamas and Central America) and decided to return; sans spice.

He did however, predict the 'trade winds' circulated clock-wise in the Atlantic Ocean, otherwise he could have never returned to Europe.