[An Introduction to] Hotspot Analysis Using ArcGIS

[An Introduction to] Hotspot Analysis Using ArcGIS

Geospatiality

Make sure to read the What is Hotspot Analysis? post before proceeding with this tutorial. This tutorial will serve as an introduction to hotspot analysis with ArcGIS Desktop. You will find links at the bottom of the post that will provide information for further research.

Get the Data

It is often difficult to find real data for use with tutorials so first of all a hat tip to Eric Pimpler, the author of ArcGIS Blueprints, for pointing me towards accessing crime data for Seattle. To follow this tutorial you will need the neighborhoods of Seattle Shapefile which you can download from here and burglary data for 2015 which I have provided a link to here. Use the Projecttool from Data Management Tools > Projections and Transformations to project the data into a Projected Coordinate System. For this tutorial I have used UTM Zone 10N. Open…

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First ever LiDAR Processing Model in QGIS using LAStools

LiDAR Processing Model in QGIS using LAStools

rapidlasso GmbH

We at rapidlasso had finally the chance to meet Victor Olaya of Boundless who created the Processing framework (formerly know as Sextante) that is now integral part of QGIS. On the last day of the joint workshop organized by Dr. Lene Fischer at the Forest and Landscape department of the University of Copenhagen that saw 2 days of LiDAR processing with LAStools followed by 2 days of GIS exercises with QGIS and Processing, we decided to do an impromptu, unscripted, and unplanned experiment in front of the course participants, doing something none of us had tested before:

We wanted to see if we would be able to use the existing LAStools and QGIS Processing functionalities to create a LiDAR Processing Model that would take a single LAZ or LAS file as input, find the bare-earth points with lasground, compute the height of each point above the ground with lasheight, look in the remaining points…

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Creating landscapes and simulating species occupation with MetaLandSim

Geekcologist

MetaLandSim is an R package I’ve developed to simulate metapopulational dynamics on an habitat network. It also computes a lot of landscape connectivity metrics and simulates range expansion (check the manual if you are interested).

I’ve mentioned it here frequently, and sometimes I like to post a simple script that I used to answer a user’s question, or a that I’ve written for any other reason. This is a run through the main functions of the package.

Much more complex uses are possible, and I’ve already published a paper with some advanced uses of the package (with another one on the way – I hope!).

Let’s start!

First of all, as always, we should load the package:

# load the package
library(MetaLandSim)
## Warning: package 'MetaLandSim' was built under R version 3.5.1
## Loading required package: tcltk
## Loading required package: igraph
## Warning: package 'igraph' was built under R…

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Easy bivariate map with Postgres

Easy bivariate map with Postgres

gisadvising

A friend recently asked me about the cool looking bivariate maps produced with ArcOnline, lamenting that the capability seemed lacking in ArcGIS. Well, it turns out that ESRI has a .dll you can use, and there is a good article here. So, if you want to create these great looking maps in ArcGIS, it shouldn’t be a problem. The website will allow you to download the .dll, and you can also watch the video on how to use it. Well worth the time.

So of course that got me thinking: could we make the same map with spatial SQL. Well, sure, and it is super easy. If you want to get spun up on what these 9 color bivariate choropleth maps are, and the theory behind it, have a look at this great site. Josh does a great job explaining how this works, but it is…

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