GEOG 250
Lab 04: More vector data
For todays lab you may get the data either by pulling the GEOG-250 Git repo, or downloading the following zip file. lab04.zip
GEOG 250
Lab 03: Vector Data 1
For todays lab you may get the data either by pulling the GEOG-250 Git repo, or downloading the following zip file. lab03.zip
GEOG 250
Lab 00b: Anaconda on windows desktops
For those wishing to use Anaconda on the local desktop instead of Posit Workbench (https://rstudio.gis.unbc.ca) here is lab 00 again reformatted for windows. If you decide to go this route the two primary concerns are to always use the same desktop so you don’t need to copy this lab every Read more…
GEOG 250
Lab 01: Matplotlib
Today’s lab is contained within a notebook in the demos git repository. To download the lab: With the lab downloaded open 1_Matplotlib.ipynb, and make sure that your kernel is set to geog250-<username>
GEOG 250
Lab 00: Intro to GIS Lab
Welcome to the Introduction to the GIS Lab, today we will be covering the following topics. Overview of Programming Languages, Interpreters, Environments and IDE’s Before we get to far into writing programs we must clarify some terms. A programming language is a specific set of syntax that allows us to Read more…
support
ArcGIS Pro Slow Performance in File Based GeoDatabases
Issue: When using ArcGIS Pro, projects accessed via UNC network paths may result in extremely poor performance. Symptoms will be noticed when interacting with file based geodatabases (including the default database created with each project); this will affect the ability to interact in the catalogue-pane as well as some geoprocessing Read more…
support
Files Opening in FME by default
If all files are opening in FME by default, you can reset the windows Default apps settings which will return most file types (Including Images, Zip files, documents, and spreadsheets) back to alternate programs that will behave more as expected. And select Default apps Scroll all the way to the Read more…
GEOG 413
Final Project
The final project is worth 20% of your course mark, 4% for each question. Question 1 A key element in the k-means analysis is the choice of the appropriate number of clusters, k. Unless otherwise required, the analyst will try several values for k and the resulting clusters are then compared Read more…