gdverse - Analysis of Spatial Stratified Heterogeneity

Analyzing spatial factors and exploring spatial associations based on the concept of spatial stratified heterogeneity, while also taking into account local spatial dependencies, spatial interpretability, complex spatial interactions, and robust spatial stratification. Additionally, it supports the spatial stratified heterogeneity family established in academic literature.

Last updated 3 days ago

geographical-detectorgeoinformaticsgeospatial-analysisspatial-statisticsspatial-stratified-heterogeneitycpp

9.22 score 32 stars 3 dependents 41 scripts 364 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 1 months ago

geoinformaticsspatial-data-analysisspatial-data-sciencespatial-statisticsopenblascppopenmp

6.61 score 16 stars 9 dependents 6 scripts 617 downloads

spEDM - Spatial Empirical Dynamic Modeling

Inferring causal associations in cross-sectional earth system 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 8 hours ago

causal-inferencecppempirical-dynamic-modelinggeoinformaticsgeospatial-causalityspatial-statisticsopenblascppopenmp

5.89 score 13 stars 2 scripts 404 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 1 months ago

spatial-explicit-geographical-detectorspatial-stratified-heterogeneitycpp

5.43 score 15 stars 4 scripts

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 27 days ago

associationcorrelationgeoinformaticsspatial-patternspatial-stratified-heterogeneity

5.10 score 5 stars 2 scripts 507 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 3 months ago

chinachina-regiongeospatial-visualizationmaps

4.93 score 17 stars 10 scripts

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 2 months ago

cpp

4.90 score 4 stars 289 downloads

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 2 months ago

geoinformaticsgeospatial-analysisinformation-theoryspatial-statisticsspatial-stratified-heterogeneitycpp

4.65 score 3 stars 2 scripts 185 downloads