ArcGIS and Google Maps/Google Earth
In this guest post, ERST607 student Aimily Li gives us some detail on how to export data from Google Maps and Google Earth – useful stuff! Introduction Sometimes in our daily life, the GIS data we collect may come from some other programs like Google Maps and Google Earth. These applications are more commonly used […]
Mad Science 101: Vaporising the Hero
In this guest post, ERST607 student Callum Mclean delves into the using GIS to estimate solar radiation. Take it away, Callum… (updated 14 October for clarity.) An Introduction to the weirdly complex world of solar power As a well-informed evildoer you might have heard we are in the midst of a rather problematic climate situation. […]
Deleting Smokers – Part 3 – Progress!
In Part 3 of a series on developing a Python script, some progress is detailed. A short data-massaging script helps prepare the input data for the main script. In this ongoing series about developing a Python script for some analysis, we first covered what the script needs to do and then also covered some data issues. […]
Deleting Smokers – Part 2
Part 2 of this series looks at refining our script pseudo-code to get input data prepped for further analysis Way back when the dinosaurs roamed the earth, we saw the first post in this series on developing a Python script for some analysis. With Python being the topic of the moment in the current GIS course, […]
SOSC301 Web app – Part 3
The webmaps for the SOSC301 field trip are finalised and made ready to use in this post. We’ve lately been looking at the process of setting up some web maps for SOSC301 to use on a field trip to beautiful Lake Tekapo. We first looked at the specs of the maps and then looked at […]
SOSC301 Web App – Part 2
In part 1 of this series, the specifications and data needed for a field trip web app for SOSC301 were outlined. In this post we look at how the data were prepared and published for use in the app . In our previous post, we looked at the requirements for a web app to be […]
SOSC301 Web App – Part 1
This is part 1 of the process of creating a web map based field data collection app that will run on smartphones for a SOSC301 field trip. In this post we set the specifications for the app and think through the data needed. Along the way we use mosaic datasets, batch processing and a quick […]
Mapping Covid-19 Vulnerability
This post covers the mapping of South Island communities and their vulnerability to Covid-19 reinfection as part of an ERST202 class project. While semester 1 feels like a long time ago now, the threats from Covid-19 are still remarkably present. Recent incidents around returning Kiwis and their efforts to break out of quarantine illustrate just […]
Where the Wild Sub Clover Grows
This posts looks at being mindful of creating ambiguous results in your spatial analysis, in a raster context The GIS Team recently did some work with Sonya Olykan and Derrick Moot on a North Island dryland farm. The aim was to identify where subterranean clover might be best grown on the Tokaroa Farm, near Martinborough. […]
Being Fair to Covid-19
We take a look at mapping Covid-19 cases in New Zealand and how we can ensure that our interpretations are more realistic. MOH figures in this post are current as at 10 May 2020 at 9.00 As we shift a bit closer to Level 2 and a perhaps bit more freedom, it may be an […]
