gdverse - Analysis of Spatial Stratified Heterogeneity

Detecting spatial associations based on the concept of spatial stratified heterogeneity while also considering spatial dependencies, spatial interpretability, complex spatial interactions, and robust spatial stratification. In addition, it supports the spatial stratified heterogeneity family described in Lv et al. (2025)<doi:10.1111/tgis.70032>.

Last updated 3 days ago

geographical-detectorgeoinformaticsgeospatial-analysisspatial-statisticsspatial-stratified-heterogeneitycpp

9.10 score 33 stars 2 dependents 41 scripts 285 downloads

sdsfun - Spatial Data Science Complementary Features

Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.

Last updated 12 hours ago

geoinformaticsspatial-data-analysisspatial-data-sciencespatial-statisticsopenblascppopenmp

6.61 score 16 stars 8 dependents 6 scripts 280 downloads

spEDM - Spatial Empirical Dynamic Modeling

Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with extensions to convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079>, partial cross mapping as outlined in Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality as described in Tao et al. (2023)<doi:10.1016/j.fmre.2023.01.007>.

Last updated 14 hours ago

causal-inferencecppempirical-dynamic-modelinggeoinformaticsgeospatial-causalityspatial-statisticsopenblascppopenmp

6.21 score 18 stars 2 scripts 258 downloads

sesp - Spatially Explicit Stratified Power

Assesses spatial associations between variables through an equivalent geographical detector (q-statistic) within a regression framework and incorporates a spatially explicit stratified power model by integrating spatial dependence and spatial stratified heterogeneity, facilitating the modeling of complex spatial relationships.

Last updated 3 months ago

spatial-explicit-geographical-detectorspatial-stratified-heterogeneitycpp

5.43 score 15 stars

cisp - A Correlation Indicator Based on Spatial Patterns

Use the spatial association marginal contributions derived from spatial stratified heterogeneity to capture the degree of correlation between spatial patterns.

Last updated 2 months ago

associationcorrelationgeoinformaticsspatial-patterns

5.10 score 5 stars 2 scripts 409 downloads

itmsa - Information-Theoretic Measures for Spatial Association

Leveraging information-theoretic measures like mutual information and v-measure to quantify spatial associations between patterns (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>; Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>).

Last updated 3 months ago

cpp

5.00 score 5 stars 125 downloads

geocn - Loads Spatial Data Sets of China

Providing various commonly used spatial data related to Chinese regions in the R programming environment.

Last updated 4 months ago

chinachina-regiongeospatial-visualizationmaps

4.93 score 17 stars 10 scripts

sshicm - Information Consistency-Based Measures for Spatial Stratified Heterogeneity

Spatial stratified heterogeneity (SSH) denotes the coexistence of within-strata homogeneity and between-strata heterogeneity. Information consistency-based methods provide a rigorous approach to quantify SSH and evaluate its role in spatial processes, grounded in principles of geographical stratification and information theory (Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>; Wang, J. et al. (2024) <doi:10.1080/24694452.2023.2289982>).

Last updated 4 months ago

geoinformaticsgeospatial-analysisinformation-theoryspatial-statisticsspatial-stratified-heterogeneitycpp

4.65 score 3 stars 2 scripts 136 downloads