This folder contains R code and data to calculate the spatial similarity index (SSI), and to compute and map the ‘distrib(t)’ and ‘counts(t)’ variables, as described in Appendix 2 of the paper. See the README file for further information and file descriptions
The spatial index takes very important role on accelerating the spatial query processing. The index ...
Location performance of the algorithm based on RSSI similarity degree with each location sensor.</p
The data and codes that are used to illustrate the application of two-scale spatial component analys...
The zipped folder contains two documents, the R code used to calculate the similarity matrix and pro...
vD–Very Dissimilar; D–Dissimilar; mD–Marginally Dissimilar; mS–Marginally Similar; S–Similar; vS–Ver...
Summarization: Similarity indexing using Spatial Access Methods (SAMs) like e.g., R-trees, assumes t...
Only an extended abstract was published in the proceedings. There is no full text.The process of cla...
<p>Locally Linear Embedding is in blue, Isomap is in red and Laplacian Eigenmaps is in black. Solid ...
This file contains the spatial data used to calculate spatial autocorrelation and to include the res...
Number of shared species (above diagonal) and Sørensen’s similarity indexes (below diagonal) for all...
<p>Structural similarity indices (SSI) for images processed through sampling.</p
This book offers essential, systematic information on the assessment of the spatial association betw...
[[abstract]]The spatial relation model is an important technique for image indexing and retrieval in...
<p>The contents of this fileset come from a Spatial Analysis in R workshop run on 12th July 2013 by ...
<p>Spatial data in R: using R as a GIS</p><p>See full tutorial at https://pakillo.github.io/R-GIS-tu...
The spatial index takes very important role on accelerating the spatial query processing. The index ...
Location performance of the algorithm based on RSSI similarity degree with each location sensor.</p
The data and codes that are used to illustrate the application of two-scale spatial component analys...
The zipped folder contains two documents, the R code used to calculate the similarity matrix and pro...
vD–Very Dissimilar; D–Dissimilar; mD–Marginally Dissimilar; mS–Marginally Similar; S–Similar; vS–Ver...
Summarization: Similarity indexing using Spatial Access Methods (SAMs) like e.g., R-trees, assumes t...
Only an extended abstract was published in the proceedings. There is no full text.The process of cla...
<p>Locally Linear Embedding is in blue, Isomap is in red and Laplacian Eigenmaps is in black. Solid ...
This file contains the spatial data used to calculate spatial autocorrelation and to include the res...
Number of shared species (above diagonal) and Sørensen’s similarity indexes (below diagonal) for all...
<p>Structural similarity indices (SSI) for images processed through sampling.</p
This book offers essential, systematic information on the assessment of the spatial association betw...
[[abstract]]The spatial relation model is an important technique for image indexing and retrieval in...
<p>The contents of this fileset come from a Spatial Analysis in R workshop run on 12th July 2013 by ...
<p>Spatial data in R: using R as a GIS</p><p>See full tutorial at https://pakillo.github.io/R-GIS-tu...
The spatial index takes very important role on accelerating the spatial query processing. The index ...
Location performance of the algorithm based on RSSI similarity degree with each location sensor.</p
The data and codes that are used to illustrate the application of two-scale spatial component analys...
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