Spatial Modeling - an overview | ScienceDirect Topics
Apr 15, 1999 · R-M-R, Remote sensing–spatial modeling–remote sensing. For the implementation of the proposed R-M-R approach, EUMETSAT rainfall data are used as inputs, HEC tools and models are …
Spatial Modeling in GIS and R for Earth and Environmental Sciences
The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and …
Spatial modeling and analysis approach for ship-encounters dynamic ...
Jun 15, 2023 · This work creatively offers a GIS spatial modeling and analysis method based on the dynamic space-time domain of ship encounters, based on the GIS spatial information platform and …
Data-driven spatial modeling of global long-term urban land …
Sep 1, 2019 · The existing dominance of these two types of modeling practices is related to the longstanding lack of time-series of global spatial built-up land change data, while in recent years, a …
High-spatial-resolution gross primary production estimation from ...
Feb 1, 2026 · High-spatial-resolution gross primary production (GPP) estimation is critical for local carbon monitoring, especially in heterogeneous landscapes wher…
Balancing economic development and forest ecosystem services: Multi ...
Feb 1, 2026 · This study reveals the optimal spatial pattern of regional land use and the underlying driving mechanism. This is achieved by constructing a multi-scale coupling framework that integrates …
Leveraging cloud-based computing and spatial modeling approaches …
Jan 1, 2022 · Leveraging cloud-based computing and spatial modeling approaches for land surface temperature disparities in response to land cover change: Evidence from Pakistan
Multi-spatial urban function modeling: A multi-modal deep network ...
Feb 1, 2025 · This study introduces a multi-modal deep learning approach to modeling urban functions from a multi-spatial perspective. Based on ILUTM, the proposed framework leverages advanced …
Integrating spatial modeling-assisted InSAR phase unwrapping with ...
Sep 1, 2024 · The approach employs the iterative Modeling-Assisted Phase Unwrapping (MA-PU) algorithm for spatial phase unwrapping, and integrates it with temporal models to derive the …
Multiscale geographical random forest: A novel spatial ML approach …
Oct 1, 2025 · A novel spatial ML method, Multiscale Geographical Random Forest (MGRF), is proposed to overcome fixed-spatial scale constraints to adaptive multiscale spatial modeling. Empirical …