Skip to main content

Posts

Showing posts from May, 2024

M2 Python Fundamentals

 I don't know about everyone else, but I struggled immensely on this assignment. From counter variable not being properly defined , the lectures/readings/exercise only showing partially what we need to do in the lab, etc. I find I'm having similar issues as when I try to teach myself python. All the resources will cover simple topics like: 1+1, what's a list?, etc. Then the actual work is performing long division and cataloging every fifth odd number into a list of  a set size. For instance, the textbook has five different ways to pull text from a list but won't tell you how to make a list that only has x amount of items. Even when you find out all the tools you need, there's no guidance on how to combine them. A lot of my struggle came from my own poor time management, but I spent as long on step 3 of the script as the entire lab was suggested to take. Here is as far as my script got:

GIS Programming- M1

 Hey everyone! Excited to keep sharpening our brains together in a new class. Now, we're tackling the dreaded beast known as scripting. If you're a few years into a GIS career, you've probably ripped some hair out over a script by now. So I'm very eager to get a better grip on the topic. This week seemed like a light introduction to the environments we'll be using and how this course will function. Check out my flowchart and let me know if you see room for improvement:

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.