COMPARISONS BETWEEN DIFFERENT INTERPOLATION TECHNIQUES

15 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. Impact of interpolation techniques on the accuracy of large-scale digital elevation model M. Habib et al. 10.1515/geo-2020-0012
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4. A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment E. Stamellou et al. 10.3390/hydrology8040159
5. Generation and evaluation of synthetic cone penetration test (CPT) data using various spatial interpolation techniques M. Rahman et al. 10.1139/cgj-2019-0745
6. Determination of the groundwater recharge in the Blagoevgrad valley Neogene sediments M. Ivanov et al. 10.52321/igh.34.1.19
7. 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
8. 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
9. 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
10. GIS-Based Approach to Spatio-Temporal Interpolation of Atmospheric CO2 Concentrations in Limited Monitoring Dataset Y. Bezyk et al. 10.3390/atmos12030384
11. 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
12. Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model C. Stadler et al. 10.1007/s10661-021-09660-4
13. Wireless Disturbance Mapping and Path Selection for Placement of Network Control System Components E. Joelianto et al. 10.1088/1742-6596/1230/1/012025
14. 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
15. Satellite imagery and machine learning for identification of aridity risk in central Java Indonesia S. Prasetyo et al. 10.7717/peerj-cs.415