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…
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…
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…
Assignment Part B Part B: Validation of Interpolated Surfaces In this part, you will generate two surfaces from the same sample points using three different methods, Inverse Distance Weighting (IDW), Spline and Kriging. You will create rainfall surfaces, and compare these to points of known rainfall to determine how good Read more…
Before we begin modeling we will add some functions that can be re-used, in R studio open a new R script, copy and past the following code and save as my_lib.R. With the custom library added start Your modeling script; in this file instead of loading libraries we will load Read more…
Review Today’s lab is relatively short, before we begin we will do some interactive review of the lab material we have covered to date. Open the following link on one of the lab computers to follow along https://poll.gis.unbc.ca/p/31359493 Moran’s I In today’s lab we will be looking at calculating Moran’s Read more…
In today’s lab, we will be looking at some of the more fundamental exploratory analysis tools. Cluster Analysis (using K-Means), and Quadrat Analysis, K-Means Clustering Clustering algorithms are useful for separating data into groups with similar qualities, clustering is often not the end goal in and of itself, but it Read more…
A Visual Example To start our exploration of PCA we will first look at the principal components of an image as it helps to intuitively show what the numbers mean, start by opening a Landsat image and plotting the image in R Studio. At this point, you should be able Read more…
As a GIS Professional part of your job will be not only to analyze geospatial data but also to communicate your findings to end users. As time moves forward and data gets larger and larger simply producing maps and reports is no longer enough; allowing end users to interact with Read more…
For today’s lab, we will be expanding upon the skills for PostgreSQL and performing analysis inside the database using the PostGIS Extensions. PostGIS has already been installed into the database you are using for this course, on a new database adding the extensions requires superuser privileges and is accomplished with Read more…