Pokie machines… a questionable social vice or good fun. Regardless of your point of view, they are certainly profitable. Palmerston North City and Ashhurst spent $4,623,896.06 on them in 2017. That’s $57.70 per person in a city of 80,000.
When mapping at a local scale we’re usually trying to show some sort of targeted data. This makes context important, but not so much that it takes away from the data your trying to show.
While working on a project I came across this effect. I was trying to render a height map, for both the country
For many people, a city’s success is judged aesthetically. Basically how pleasant an environment is it.
Looking over the invoices for council I found $##redacted (large sum of money, larger than I was ultimately aloud to publish on the infographic or my blog ) being spent on illegal dumping every year. That is an impressive sum of money for a small city. So I’m producing a map to show the annual cost and distribution of illegal dumping in the City; while telling the story of how long it take the council to pick the trash up. The data has been collected using Survey123 and Workforce and visualized in ArcGIS pro.
A lot of manual work can be avoided by using scripts to automate the processes. However, you inevitably end up with a lot of scripts to automate different pieces of a process.
Maps have an amazing ability to focus a discussion. As a discussions becomes bigger less people can see the map and the conversation breaks down. This is actually a really big problem.
Since Roman times city planning has included the provisioning of Water. Moving forwards a couple of thousand years has taken us away from the obvious aqueduct to an immensely complex underground network of pipe’s servicing the 3 water system; Wastewater, Storm water and drinking Water.
We often find ourselves collecting and maintaining data. For GIS applications we use this data to answer questions about the world around us. Quite often the sheer quantity of data is overwhelming and the more we collect the harder it is to give a simple answer.
This project is going to use Hexagon bins for the Motutapu Restoration project data. If it’s successful I will be able to report on disparate data sources by binning it into a hexagon grid across the island. This will allow me to report temporally for the islands data records using one feature service, a hexagon grid.
In the immediate aftermath of the Kaikoura earthquake a well practiced response went into effect. Within a few days information about the event increased exponentially as the various agencies began reporting. The tide of information was overwhelming. Organisation such as Environment Canterbury began requesting GIS support to help make the relevant information visible to people who could use it. I was lucky enough to be selected to go down and help out at the Environment Canterbury offices. Here is the process as I experienced it.