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Michelle Felde's GIS Collection

Michelle Felde's GIS Collection. Sunday, December 4, 2016. Special Topics: Lab 15. In the final lab for the course, the focus was on Dasymetric mapping. Dasymetric mapping uses additional information such as land type to improve determining where populations are allocated. To help get a better idea of where the population is distributed, impervious data of roads to remove areas where people are unlikely to live. Friday, December 2, 2016. Below are a few examples of my work:. Sunday, November 27, 2016.

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Michelle Felde's GIS Collection | mf34.blogspot.com Reviews
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Michelle Felde's GIS Collection. Sunday, December 4, 2016. Special Topics: Lab 15. In the final lab for the course, the focus was on Dasymetric mapping. Dasymetric mapping uses additional information such as land type to improve determining where populations are allocated. To help get a better idea of where the population is distributed, impervious data of roads to remove areas where people are unlikely to live. Friday, December 2, 2016. Below are a few examples of my work:. Sunday, November 27, 2016.
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Michelle Felde's GIS Collection | mf34.blogspot.com Reviews

https://mf34.blogspot.com

Michelle Felde's GIS Collection. Sunday, December 4, 2016. Special Topics: Lab 15. In the final lab for the course, the focus was on Dasymetric mapping. Dasymetric mapping uses additional information such as land type to improve determining where populations are allocated. To help get a better idea of where the population is distributed, impervious data of roads to remove areas where people are unlikely to live. Friday, December 2, 2016. Below are a few examples of my work:. Sunday, November 27, 2016.

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1

Michelle Felde's GIS Collection: September 2016

http://mf34.blogspot.com/2016_09_01_archive.html

Michelle Felde's GIS Collection. Sunday, September 25, 2016. Special Topics: Lab 5. Lab 5 covers Vehicle Routing Problem and how adjusting setting and routes, it impacts how many stops and routes will be produced. To start the analysis, I added the customer information for the orders. I adjusted the parameters for pick up times and other parameters. Next I added the distribution center for the depot. I set the parameters for when the depot can be stopped at. Sunday, September 18, 2016. This week's lab lo...

2

Michelle Felde's GIS Collection: Special Topics: Lab 13

http://mf34.blogspot.com/2016/11/special-topics-week-13.html

Michelle Felde's GIS Collection. Sunday, November 20, 2016. Special Topics: Lab 13. Week 13 lab focused on how scale and resolution can affect the details of an image. The first part of the lab looked at vector data while part be focused on raster data. The first part of the lab compared polylines and polygons at different scales. The second part of the lab compared LIDAR and SRTM with cell size at 90 m. SRTM is a very high resolution images. Subscribe to: Post Comments (Atom). View my complete profile.

3

Michelle Felde's GIS Collection: November 2015

http://mf34.blogspot.com/2015_11_01_archive.html

Michelle Felde's GIS Collection. Tuesday, November 10, 2015. Week 10: Supervised Classification. Week 10 objectives are to create spectral signatures and AOI features in ERDAS. From there, create a newly classified image from a satellite image. Once the image is recoded, identify and resolve confusion between the signatures. Supervised Classification of Germantown, Maryland using bands R-4, G-5, and B-6. Tuesday, November 3, 2015. Module 9: Unsupervised Classification. Subscribe to: Posts (Atom).

4

Michelle Felde's GIS Collection: August 2016

http://mf34.blogspot.com/2016_08_01_archive.html

Michelle Felde's GIS Collection. Sunday, August 28, 2016. Special Topics Lab 1. This week's lab covers the precision and accuracy. The first part looked at the precision and accuracy of a GPS unit. A point was observed and mapped 50 times using the GPS devise. To determine how accurate or precise the observations were, the average X and Y coordinates were found and a point added. I performed a buffer around the average point for 1, 2, and 5 meters. The second part of the lab covered calculating the Root ...

5

Michelle Felde's GIS Collection: Special Topics: Lab 12

http://mf34.blogspot.com/2016/11/special-topics-lab-12.html

Michelle Felde's GIS Collection. Sunday, November 13, 2016. Special Topics: Lab 12. This week lab focused on comparing the OLS model to the GWR model. The Geographically Weighted Regression model. The model looks at small sets of data. The model uses an equation to incorporate the independent and dependent variables. The shape of the results are determined by bandwidth and kernel type. Subscribe to: Post Comments (Atom). View my complete profile. Special Topics: Lab 14. Special Topics: Lab 13.

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Michelle Felde's GIS Collection

Michelle Felde's GIS Collection. Sunday, December 4, 2016. Special Topics: Lab 15. In the final lab for the course, the focus was on Dasymetric mapping. Dasymetric mapping uses additional information such as land type to improve determining where populations are allocated. To help get a better idea of where the population is distributed, impervious data of roads to remove areas where people are unlikely to live. Friday, December 2, 2016. Below are a few examples of my work:. Sunday, November 27, 2016.

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