Spatial Interpolation Methods For those of you new to interpolation methods. Interpolation is a procedure used to predict the values at locations that lack sampled points. It is based on the principle of spatial autocorrelation or spatial dependence (e.g. Tobler’s First Law of Geography), which measures degree of relationship or dependence between near and distant … Continue reading Interpolation Methods for spatial data
Courses
Are you interested in learning more about Spatial Data Science? Since this has become a really hot field to be in before you decide this is the career path for you try some short courses. Working with data and dealing with data is not everyone's cup of tea. Although this is a highly technical field … Continue reading Courses
Spatial data analysis: overview of the 6 function classes
In an earlier post I provided an overview of the different types of methods that might be used to conduct different types of spatial data analyses. These included using statistical methods, spatial analysis methods, data science methods and depending on your needs and use of imagery, image analysis methods. In this post I will go … Continue reading Spatial data analysis: overview of the 6 function classes
the geospatial ecosystem: Software, Libraries and Data Platforms
With more than 30 software packages to choose from to perform a range of analyses, where does one start? What software or data platforms, programming languages and libraries? To get you started see the image below where I have provided an overview of GIS and EO (Earth Observation) software tools, libraries in R and Python and … Continue reading the geospatial ecosystem: Software, Libraries and Data Platforms
Spatial Data Science vs GIS vs Geospatial?
Heard about GIS (Geographic Information System), GIScience, Spatial Data Science, Geospatial information and technologies? Wondering what it is all about? Let's start with some background info. GIS - Geographic Information System is a system that enables you to create, edit, organise, work with and analyse spatial information. It is a very powerful tool that not … Continue reading Spatial Data Science vs GIS vs Geospatial?
GeoSpatialSense 