COMPARISONS BETWEEN DIFFERENT INTERPOLATION TECHNIQUES

24 citations as recorded by crossref.

1. Comparison of spatial interpolation methods for estimating the precipitation distribution in Portugal A. Antal et al. 10.1007/s00704-021-03675-0
2. Using High-Density LiDAR Data and 2D Streamflow Hydraulic Modeling to Improve Urban Flood Hazard Maps: A HEC-RAS Multi-Scenario Approach A. Mihu-Pintilie et al. 10.3390/w11091832
3. Evaluation of interpolation methods for the prediction of urban methane concentrations C. Stadler et al. 10.1016/j.uclim.2023.101556
4. A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment E. Stamellou et al. 10.3390/hydrology8040159
5. Determination of the groundwater recharge in the Blagoevgrad valley Neogene sediments M. Ivanov et al. 10.52321/igh.34.1.19
6. The effect of different sampling schemes on estimation precision of snow water equivalent (SWE) using geostatistics techniques in a semi-arid region of Iran H. Ganjkhanlo et al. 10.1080/10106049.2019.1581267
7. Deployment and Verifications of the Spatial Filtering of Data Measured by Field Harvesters and Methods of Their Interpolation: Czech Cereal Fields between 2014 and 2018 . Řezník et al. 10.3390/s19224879
8. Statistical interpolation and spatial mapping of geotechnical soil parameters of District Sargodha, Pakistan W. Hassan et al. 10.1007/s10064-022-03059-2
9. Long-Term Volumetric Change Estimation of Red Ash Quarry Sites in the Afro-Alpine Ecosystem of Bale Mountains National Park in Ethiopia M. Muhammed et al. 10.3390/rs16071226
10. Indicators of wind-driven forest disturbances – pit–mound topography, its automatic detection and significance J. Godziek & Ł. Pawlik 10.1016/j.catena.2022.106757
11. Wireless Disturbance Mapping and Path Selection for Placement of Network Control System Components E. Joelianto et al. 10.1088/1742-6596/1230/1/012025
12. The use of surface interpolation methods for landslides monitoring G. Lenda et al. 10.1007/s12205-015-0038-4
13. Integrating vegetation indices and geo-environmental factors in GIS-based landslide-susceptibility mapping: using logistic regression H. Abeysiriwardana & P. Gomes 10.1007/s11629-021-6988-8
14. Satellite imagery and machine learning for identification of aridity risk in central Java Indonesia S. Prasetyo et al. 10.7717/peerj-cs.415
15. Geospatial-based approach for susceptibility assessment of expansive soils using a new multicriteria classification model A. Djellali et al. 10.1007/s12517-022-11024-2
16. Impact of interpolation techniques on the accuracy of large-scale digital elevation model M. Habib et al. 10.1515/geo-2020-0012
17. Mining Ground Deformation Estimation Based on Pre-Processed InSAR Open Data—A Norwegian Case Study J. Blachowski & S. Ellefmo 10.3390/min13030328
18. Generation and evaluation of synthetic cone penetration test (CPT) data using various spatial interpolation techniques M. Rahman et al. 10.1139/cgj-2019-0745
19. SPATIAL REPRESENTATION OF SURFACE WATER MONITORING AND ITS ASSESSMENT USING GEOSTATISTICAL AND NON-GEOSTATISTICAL TECHNIQUES IN GIS E. Maliqi & P. Penev 10.3846/gac.2019.8590
20. GIS-Based Approach to Spatio-Temporal Interpolation of Atmospheric CO2 Concentrations in Limited Monitoring Dataset Y. Bezyk et al. 10.3390/atmos12030384
21. Cumulative Ordinary Kriging interpolation model to forecast radioactive fallout, and its application to Chernobyl and Fukushima assessment: a new method and mini review F. Külahcı & Z. Şen 10.1007/s11356-022-21921-4
22. Effect of statins on the association between high temperature and all-cause mortality in a socioeconomically disadvantaged population: a cohort study Y. Nam et al. 10.1038/s41598-019-41109-0
23. Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model C. Stadler et al. 10.1007/s10661-021-09660-4
24. Visualising post-disaster damage on maps: a user study T. Candela et al. 10.1080/13658816.2022.2063872