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faosorios
SpatialPack:Tools for Assessment the Association Between Two Spatial Processes
Tools to assess the association between two spatial processes. Currently, several methodologies are implemented: A modified t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, the codispersion coefficient, and an F test for assessing the multiple correlation between one spatial process and several others. Functions for image processing and computing the spatial association between images are also provided. Functions contained in the package are intended to accompany Vallejos, R., Osorio, F., Bevilacqua, M. (2020). Spatial Relationships Between Two Georeferenced Variables: With Applications in R. Springer, Cham <doi:10.1007/978-3-030-56681-4>.
Maintained by Felipe Osorio. Last updated 9 days ago.
codispersion-coefficientmodified-t-testspatial-associationspatial-processesssimstructural-similaritytjostheim-coefficientfortran
7 stars 5.88 score 73 scripts 1 dependents
ausgis
SecDim:The Second Dimension of Spatial Association
Most of the current methods explore spatial association using observations at sample locations, which are defined as the first dimension of spatial association (FDA). The proposed concept of the second dimension of spatial association (SDA), as described in Yongze Song (2022) <doi:10.1016/j.jag.2022.102834>, aims to extract in-depth information about the geographical environment from locations outside sample locations for exploring spatial association.
Maintained by Wenbo Lv. Last updated 7 months ago.
spatial-associationspatial-predictions
1 stars 2.70 score 2 scripts