Agriculture worldwide faces daunting challenges, not only because of increasing population growth, changing food consumption patterns, natural resource scarcity and environmental degradation, but also as a result of the rapidly intensifying threat of climate change. Australia is likely to be one of the most exposed of the world’s developed countries to the adverse effects of climatic change, especially possible declines in agricultural production…
The North East Catchment Management Authority engaged Spatial Vision to model and spatially represent changes in key climatic factors, agricultural productivity and water balance.
The Urban Sustainability brand within the City of Melbourne required a pilot project to analyse and map the thermal comfort for pedestrian routes.
In these blogs (part 1, part 2), I take a look at GeoPandas and go through a worked example to show off some the cool things it does.
The Biodiversity Division of DELWP engaged Spatial Vision to produce a mobile application in ArcCollector to be the field data capture tool for the DELWP biodiversity web mapping application STAR.
Spatial Vision developed a mobile App map ordering using solution based on advanced HTML5 hybrid framework that focuses on performance, and can create App for multiple platforms such as iOS and android as well as desktops using a single source code that can reduce the cost and effort of development for these multiple platforms.
The aim of this blog is to get you started on creating your first BI dashboard using simple ABS data in Power BI.
With the frequency of extreme heat events increasing in urban areas, heat stress is becoming a major health concern for pedestrians as they navigate their way across the urban landscape.
I wanted to write about how quick and easy it is to make a simple map in R. However, it dawned on me that the first time I tried to make a map in R it actually took a long time.
This is part 1 of the first installment of a new series of blogs on Open-Source Spatial technologies. First stop on this tour is a Python library called GeoPandas.