MARSGWR
A Hybrid Spatial Model for Capturing Spatially Varying Relationships Between Variables in the Data
It is a hybrid spatial model that combines the strength of two widely used regression models, MARS (Multivariate Adaptive Regression Splines) and GWR (Geographically Weighted Regression) to provide an effective approach for predicting a response variable at unknown locations. The MARS model is used in the first step of the development of a hybrid model to identify the most important predictor variables that assist in predicting the response variable. For method details see, Friedman, J.H. (1991). doi:10.1214/aos/1176347963.The GWR model is then used to predict the response variable at testing locations based on these selected variables that account for spatial variations in the relationships between the variables. This hybrid model can improve the accuracy of the predictions compared to using an individual model alone.This developed hybrid spatial model can be useful particularly in cases where the relationship between the response variable and predictor variables is complex and non-linear, and varies across locations.
- Version0.1.0
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/09/2023
Team
Nobin Chandra Paul
MaintainerShow author detailsAnil Rai
Show author detailsRolesAuthorAnkur Biswas
Show author detailsRolesAuthorTauqueer Ahmad
Show author detailsRolesAuthorBhaskar B. Gaikwad
Show author detailsRolesAuthorDhananjay D. Nangare
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 166 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 2,453 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 71 downloads.
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- Imports3 packages
- Suggests3 packages