r-clark-evans

Clark-Evans index allows you to define the way points are distributed in space – by chance, evenly or by group clustering. Earlier there was a post about this index at 50º North. It described in detail the theoretical aspects of calculating Clark-Evans index and its interpretation. Therefore, now we will not look into them again. […]

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spatial-autocorr

When setting the procedure for calculating many criteria for spatial statistics, you must specify the distance threshold. It is used to find the neighbours of each object and to determine the spatial scales that show the impact of objects on each other. These spatial weights are one of the variables in the formulas for calculating […]

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morans-i

In a previous post on the topic of spatial statistics, we have shown how to define the type of spatial distribution of discrete objects. But, besides distribution of the objects themselves, a spatial distribution of their characteristics may have a certain interest, as well. For the same objects, some characteristics may feature a uniform type […]

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Clark-Evans-spatial-distribution

This post begins a series of posts on the spatial statistics techniques. Spatial statistics is a cross-disciplinary field between geoinformatics and statistics. Its methods are useful at spatial data analysis that is analyzing the data of spatially coordinated observations. If a geographical location of observations matters, this makes a very case for the application of […]

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