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ArcGIS Pro Basics Plus

  Рет қаралды 16,772

UofILibrary

UofILibrary

Күн бұрын

Workshop recording providing attendees with an overview of ArcGIS Pro, Esri’s next-generation desktop GIS that integrates web GIS, spatial machine learning, open science technologies, and 3d rendering into one package. Attendees will learn about basic interface navigation, functionality, and various tools which can be used in the program. University of Idaho, March 2021

Пікірлер: 4
@SajjadMZahraei
@SajjadMZahraei Жыл бұрын
آفرین 👍
@chaitanyaluhar3
@chaitanyaluhar3 3 жыл бұрын
Hello, I was wondering from where I can get all the data that you linked with the Moscow map at around the 42nd minute in the video. I am a complete beginner and I was trying to follow the steps, however, I am not sure from where I can download the larcgis folder, which has the necessary data to link to the map! It will be really helpful to know some sort of links to the documents used in this video to follow the steps to understand the process. Thank you in advance.
@mohammad.abdossalam7979
@mohammad.abdossalam7979 Жыл бұрын
👍
@BRichard312
@BRichard312 3 жыл бұрын
With all due respect, I completely disagree with the binary approach used in your suitability demo. Coming heavily from an R background, I can tell you that this analysis can be substantially extended beyond a binary approach. However, if you must use a binary approach, I would recommend using bi-variate categories which would give you a much more accurate reading of suitability. To further extend that idea, you could disaggregate the measurements into multivariate categories by a simple argument change in R. Color range is automatically configured based on a user-defined number. If I were tasked with conducting a suitability assessment similar to the one in your demo, I would use an R package called plot.matrix that substantially increases the accuracy and granularity of a suitability analysis while minimizing the effort needed to achieve the resulting plot. It's an extraordinary library to use for these sorts of analyses. The question one must ask is, when a more granular accurate approach can be used to define suitability, why would you use a high-level summary approach?
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