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GIS 4035, Week 3: LULC Classification Lab

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GIS 4035, Week 3: LULC Classification Lab

This is a new GIS low point for me:  too many new things for me to learn in ArcMap, and too many things on my plate this week for me to complete and turn in acceptable work.  So I'll turn in what I have.

Interrogating an image and identifying LU/LC classifications is honestly very interesting!  If I'd had the time, I believe that my OCD would have driven me to classifying features down to the street level.  :)  And I'm pretty familiar with the town "next door" to Pascagoula, so I remember some of the mapped area from visits when I was a kid.  But ArcMap continues to slow me down.  I spent almost 30 minutes trying to figure out how to "start an editing session"....sounds crazy in retrospect, but if you don't know, you don't know.  I somehow started displaying not only the classification level but also the description in my shapefile.  Spent another 30 minutes trying to figure out how to turn that off, and…

Final Project: Do Mobile Homes Attract Tornados?

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I chose the red pill ...I searched for an interesting and relevant topic, and then found and refined data myself.  As I was learning this semester, always in the back of my mind was the question of whether I'd leave the course with the tools and knowledge to build a "real map" in support of my job and my research.  It's pretty clear in my mind now that I can do this....albeit quite slowly, and with still a lot to learn.  But I can do it.  Pretty cool.

I found a journal article that I felt was interesting.  The authors were looking for spatial correlation between tornado formation and land use areas.  They found a promising spatial relationship between tornados and land use transition zones (e.g.: forested area to farmland, or farmland to urban land use).  No great scientific paper ever survives first contact with a journalist....a reporter from Chicago put facts together, noticing that mobile homes tended to be located on the outer edge of the urban land use zones (…

Module 12: Google Earth

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A lab that I could complete in under 3 hours....I feel like I won the lottery.  :)  In the final lab of the class, I learned to cross the bridge between the professional's ArcGIS, and the people's Google Earth.  This was a great exercise, and I am sure that I will use this function again in my workplace, if not again in my Certificate Program.  I learned to convert ArcGIS maps and layers to kml and kmz files, and how to build a zipped kml map and tour. As much as I have "played" with GE, I've never actually constructed a tour before this week....that will be very useful as well.  I added a few points to the tour that had meaning to me (I was born and lived in Palm Beach County, I lived and worked on MacDill AFB in Tampa, and I met my wife in Miami Beach), but edited out the additional placemarks before I turned it in.  I didn't want to get too silly with the assignment. So this turned into a visit of some dearly loved places...thanks for the memories!  

My …

Module 11: 3D Mapping

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This week I learned 3D mapping background, theory and techniques; used for the first time the 3D Analyst Extension, ArcScene and ArcGlobe applications; got to visit my old friend GE; and provided a review of Tufte's 3D rendition of Mendard's map of the defeat of the once-mighty French Army by  logistics, disease, and the famous Russian General known as 'General Winter'.




Shown above is a representative graphic produced during the ERSI training--a 3D map of Crater Lake, Oregon.

I first completed the assigned 3 hour ESRI module, 3D Visualization Techniques Using ArcGIS, and learned, practiced, applied and was evaluated through lessons teaching 3D visualization of raster and feature data, and was exposed to 2D to 3D conversion using values derived from lidar data. I was able to work functionally in ArcGlobe and ArcScene. I learned about vertical exaggeration (something I actually knew how to do from working with GE).  I learned more, and I appreciate the usefulness of opti…

Module 10--Dot Density Mapping

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The laboratory was designed to reinforce this week's instruction on Dot Density Mapping. I used ArcMap to manipulate instructor-provided Shape files and tabular data in order to to build a dot map showing population density in South Florida.  I then finalized the Arc map in Adobe Illustrator, and saved as an image file. 

Learning how to join spatial and spreadsheet data was not a challenge, and it seems to me to be a very useful skill for further work in this area.

The instructions for selecting dot sizes and unit values were straightforward; however, more on that process in a second

The lab instructions adequately prepared me for the ArcMap processing disaster that was to come.  I'm quite sure that I spend 30 minutes trapped in the "masking>exclude (or include)>ok>say a bad word to two>restart ArcMap>repeat" loop.  I was working on my (brand new) home workstation using ArcGIS desktop software.  The page 6 suggestion to work with two .mxd files finall…

Module 9: Flow Line Mapping

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The map above shows legal immigration to the U.S. in 2007.  It shows immigrant region of  origination, and it shows where immigrants tended to make residence in the U.S after arrival here.  Immigration data was provided by individual countries, but we were asked to consolidate to a continental view. It would have been very interesting to flow line the top ten (non normalized) source countries.

This week's lab explored the general topic of flow line mapping, but also led me to further learn/practice new styling features in Adobe Illustrator.  Starting with a global map, I built a flow line map of world immigration to America.

The lab began with a compare/contrast section (Adobe vs. Arc), which was very useful for me.  Using the Base Map A option, I story boarded (old school--I sketched it out on a piece of paper), I started to build my flow line map.  Grabbing and moving the continents was easy, once I figured out the lasso tool.  I added a flow line (arbitrarily chose a width of …

Module 8: ISarythmic Mapping Lab

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This week we explored isarithmic mapping.  In the lecture portion of the class we were acquainted with an overview on two types of data, several methods of plot interpolation, the six criteria used to select the optimal interpolation technique, and symbolization in isarithmic mapping.  We were briefly exposed as well to some basics on topographic mapping.  The lab reinforced the subject material and gave us practical application of the concepts.

In the course of completing the lab, we used ArcCatalog to sift through data attributes, and ArcMap to develop a continuous tone map.  We learned to invert data values on a legend.  And we learned how to build a contour map that made use of hypsometric tint.  We learned several new applications within ArcMap (namely--the Spatial Analyst Extension, the INT tool, and the Spatial Analyst Toolbar), and the hillside relief option.  

We used precipitation data derived by the Oregon States's PRISM database.The precipitation data was o…