Showing 8 of total 8 results (show query)
stscl
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>.
Maintained by Wenbo Lv. Last updated 3 days ago.
geographical-detectorgeoinformaticsgeospatial-analysisspatial-statisticsspatial-stratified-heterogeneitycpp
33 stars 9.10 score 41 scripts 2 dependents
ausgis
geocomplexity:Mitigating Spatial Bias Through Geographical Complexity
The geographical complexity of individual variables can be characterized by the differences in local attribute variables, while the common geographical complexity of multiple variables can be represented by fluctuations in the similarity of vectors composed of multiple variables. In spatial regression tasks, the goodness of fit can be improved by incorporating a geographical complexity representation vector during modeling, using a geographical complexity-weighted spatial weight matrix, or employing local geographical complexity kernel density. Similarly, in spatial sampling tasks, samples can be selected more effectively by using a method that weights based on geographical complexity. By optimizing performance in spatial regression and spatial sampling tasks, the spatial bias of the model can be effectively reduced.
Maintained by Wenbo Lv. Last updated 5 months ago.
geographical-complexitygeospatial-analysisspatial-regressionspatial-relationsspatial-samplingspatial-statisticsopenblascppopenmp
19 stars 6.53 score 12 scriptsstscl
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>.
Maintained by Wenbo Lv. Last updated 16 hours ago.
causal-inferencecppempirical-dynamic-modelinggeoinformaticsgeospatial-causalityspatial-statisticsopenblascppopenmp
18 stars 6.21 score 2 scriptsstscl
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.
Maintained by Wenbo Lv. Last updated 3 months ago.
spatial-explicit-geographical-detectorspatial-stratified-heterogeneitycpp
15 stars 5.43 scorestscl
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.
Maintained by Wenbo Lv. Last updated 2 months ago.
associationcorrelationgeoinformaticsspatial-patterns
5 stars 5.10 score 2 scriptsstscl
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>).
Maintained by Wenbo Lv. Last updated 3 months ago.
5 stars 5.00 scorestscl
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>).
Maintained by Wenbo Lv. Last updated 4 months ago.
geoinformaticsgeospatial-analysisinformation-theoryspatial-statisticsspatial-stratified-heterogeneitycpp
3 stars 4.65 score 2 scriptsausgis
localsp:Local Indicator of Stratified Power
Implements a local indicator of stratified power to analyze local spatial stratified association and demonstrate how spatial stratified association changes spatially and in local regions, as outlined in Hu et al. (2024) <doi:10.1080/13658816.2024.2437811>.
Maintained by Wenbo Lv. Last updated 2 months ago.
2 stars 4.60 score