Skip to main content

M7- Neogeography

 This week, we worked through taking our data out of ESRI and into Google. Google Earth is a great tool for non-GIS users to dip their toes into GIS data. I have a lot of experience working through types of requests similar to the lab, so nothing too challenging from my perspective. Just convert the layers and throw it into Google Earth and you're 90% there. The map showed a population dot density map, water bodies, and I also recorded a tour of major cities in South Florida.

Labels:

Comments

Post a Comment

Popular posts from this blog

Vectors, how Vexing!!

 Hey everyone, hope your lab went better than mine this week. It was going really well, until I got to the end and didn't have the correct number of features. It had been looking good, I was nearing down on a suitable campsite that didn't fall in the buffer of our water and road features. I had just removed the overlap between the buffer union and the conservation lands, but my end result didn't make sense. See my results below:
Post a Comment
Read more

M5 - Explore and Manipulate Data

 Good evening classmates, This week we tackled dictionaries, cursors, and lists. Oh my! But seriously, these are incredibly powerful tools that you'll implement frequently in your GIS solutions. I've seen them in most of the scripts I've encountered. There was a lot of material this week and I'll admit, I did struggle to keep up with it. The part of the lab that I struggled with most was updating the dictionary with values from the feature class. Beyond the two lines in the lab assignment, I couldn't find any references in the readings or exercise about populating an empty dictionary. I got as far as the below error (cannot concatenate 'str' and 'int'. I tried converting the integer field to string , but that didn't affect the error message. Even put together a try/except statement to see if anything was making it to the dictionary, but nothing was. Unfortunately, I had to stop my efforts on the lab there this week. 
Post a Comment
Read more

Lab 4- Working with Color

 ColorBrewer: Adjusted Progression:  Linear:  The linear and adjusted progression color ramps appear to follow a much more rigid association with the starting and ending colors. The ramp I found from the ColorBrewer website quickly appeared to lose the greenish hue and end on more grey and white notes. While this would appear visually distinct on the map, I find that it loses some of the intrinsic association between features. If I have a dark green and a light green, and I know both come from the same dataset, I can judge that they represent some degree of intensity or increase in amount of data represented. When I compare dark green to white, that doesn’t tell me much about the difference between these two features without referring to the legend. The time saving aspect of ColorBrewer is wonderful in comparison though, and I could have spent more time selecting a color gradient that suited my needs. I used a blue to red color system with percentages shown. Blue shows a...
Post a Comment
Read more