Spatial Data Calculator
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This online calculator was initially created for a spatial analysis course at the University of Tartu by reseacher Kalle Remm with coding support from Markus Unt.

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Input locations must formally be in Cartesian coordinates. The measurement units of output distances and input parameters are the same as for coordinates, e.g if the coordinates are given in metres for distance intervals then search radii must also be in metres. If the south−north distance column is to left of the west−east direction, the option N direction first should be selected from the radio button list above the input cell. The functions that use existing data layers presume the L−Est coordinate system. Cartograms can include WMS background from the XGis server of the Estonian Land Board. This background assumes L−Est coordinates in metres.
Publications
Remm K., Kelviste T. 2014. An online calculator for spatial data and its applications. Computational Ecology and Software 4(1), 22-34.
◦ Kotta J., Remm K., Vahtmäe E., Kutser T., Orav-Kotta H. 2014. In-air spectral signatures of the Baltic Sea macrophytes and their statistical separability. Journal of Applied Remote Sensing 8(1), 083634 (May 09, 2014). doi:10.1117/1.JRS.8.083634.
◦ Bett G.C.L., Kaplan A.D., Rasmusson R.L. 2016. Action Potential Shape Is a Crucial Measure of Cell Type of Stem Cell-Derived Cardiocytes. Biophysical Journal 110(1), 284-286. doi:10.1016/j.bpj.2015.11.026.
◦ Remm K. 2016. Selecting site characteristics at different spatial and thematic scales for shrubby cinquefoil (Potentilla fruticosa L.) distribution mapping. Forestry Studies | Metsanduslikud Uurimused 64, 17–38. doi:10.1515/fsmu-2016-0002.
◦ Remm K., Remm L. 2017. Shrubby cinquefoil (Dasiphora fruticosa (L.) Rydb.) mapping in Northwestern Estonia based upon site similarities. BMC Ecology 2017 Feb 21;17(1):7. doi: 10.1186/s12898-017-0117-0.

◦ Introduction video part 1, part 2, part 3 and part 4.
◦ Lecture notes.

* Publications in Estonian are listed in the Estonian version of this web page.
The source code for the computation algorithm is open to the user. Use it as is, and/or send brief suggestions using the tools below. Longer comments should be sent to the corresponding author (see link above).
The authors do not charge a fee for the use of this online calculator, and do not take responsibility for any incorrect or unexpected results obtained by using this calculator.
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TimeNameCommentResponse 
3/7/2016 10:38:52 AMRoger WhitewayI love this - thank you. I have a poor background in statistics, and I have been looking for a way to cluster similar place names within the UK. These clusters may be significant if they relate to early invasions of the UK by (for example) the Danes and the Norwegians. Your SDC (Spatial clusters from ID, X, Y data) does exactly what I want - it takes my data and gives me results that I can find useful, without all the background on how spatial analysis is done. For me, this is excellent. Many thanks, Roger Whiteway PS: If you have any comments about how appropriate or otherwise this sort of use might be, I shall be interested to hear. Thank you, Roger! I would gladly add a reference or link to your research, after it is published, to the introduction of the calculator. Kalle Remm 7933