Search Results - "INTERPOL"

An evaluation of void-filling interpolation methods for SRTM data by Reuter, HI, Nelson, A., Jarvis, Andy

“…lying areas; spline interpolation for small and medium?sized voids in high?…”
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Spatial interpolation of soil hydraulic properties and simulated rice yield by Wopereis, M.C.S., Stein, A., Kropff, M.J., Bouma, J.

“…Second, yields were simulated using soil information from 133 auger sites, and were interpolated over management units using block kriging. …”
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The use of climate data interpolation in estimating the distribution of Amblyomma variegatum in Africa by Norval, R.A.I., Perry, Brian D., Kruska, Russell L., Kundert, K.

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Very high resolution interpolated climate surfaces for global land areas by Hijmans, Robert J., Cameron, Susan E., Parra, Juan L., Jones, Peter G., Jarvis, Andy

“…We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). …”
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Fitting a third-order markov rainfall model to interpolated climatic surfaces by Jones, Peter G., Thornton, Philip K.

“…A procedure to link a third-order Markov rainfall model to interpolated monthly mean climate surfaces is described. …”
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Assessment of areal interpolation methods for spatial analysis of SPI and EDI drought indices by Akhtari, R., Morid, S., Mahdian, M.H., Smakhtin, Vladimir U.

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30 Arc-Second Historical and Future Scenario Climate Surfaces for Western Honduras by Llanos Herrera, Lizeth, Navarro Racines, Carlos Eduardo, Valencia Gómez, Jefferson, Monserrate Rojas, Fredy Alexander, Vallejo Quintero, Marcela Alejandra

Subjects: “…interpolation…”
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Interpolating and extrapolating impact estimates: Implications of ex post impact evaluation evidence for projecting benefits ex ante by Labarta, Ricardo Antonio, Lybbert, Travis J., Melaku, Astewale, Walker, Madeleine, Chunhao Yang

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Estimation of monthly river flows for un-gauged catchments in Sri Lanka: a non-linear spatial interpolation approach by Weragala, Neelanga

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Potential of deterministic and geostatistical rainfall interpolation under high rainfall variability and dry spells: case of Kenya’s Central Highlands by Kisaka, M. Oscar, Mucheru-Muna, M., Ngetich, Felix K., Mugwe, J., Mugendi, D., Mairura, Franklin S., Shisanya, Chris A., Makokha, G. L.

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The potential benefits of GIS techniques in disease and pest control: an example based on a regional project in Central Africa by Manyong, Victor M., Legg, C., Mwangi, M., Nakato, V., Coyne, Danny L., Sonder, Kai, Abele, S.

Subjects: “…interpolation…”
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Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard by Jiménez-Bello, Miguel Ángel, Castel, Juan R., Testi, Luca, Intrigliolo, Diego S.

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Comparison of extrapolation and interpolation methods for estimating daily photo synthetically active radiation (PAR): A case study of the Poyang Lake national nature reserve, China by Wu, Guofeng, Leeuw, Jan de, Skidmore, Andrew K., Liu, Yaolin, Prins, H.H.T.

“…This study aimed to compare two extrapolation and one interpolation methods for estimating daily PAR reaching the earth surface within the Poyang Lake national nature reserve, China. …”
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Spatial Variability of Soil Acidity and Lime Requirements for Potato Cultivation in the Huánuco Highlands by Quispe Matos, Kenyi Rolando, Mejía, Sharon, Carbajal Llosa, Carlos Miguel, Alejandro Mendez, Lidiana Rene, Verástegui Martinez, Patricia, Solórzano Acosta, Richard Andi

Subjects: “…geostatistical interpolation…”
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Plan de Desarrollo Departamental 2020- 2023 Córdoba: Ahora le Toca a Córdoba.

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Rainfall variability, drought characterization, and efficacy of rainfall data reconstruction: case of eastern Kenya by Kisaka, M. Oscar, Mucheru-Muna, M., Ngetich, Felix K., Mugwe, JN, Mugendi, D, Mairura, Franklin S.

“…Spline, Kriging, and inverse distance weighting interpolation techniques were assessed using daily rainfall data and digital elevation model using ArcGIS. …”
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Mapping soil texture classes using field texturing, particle size distribution and local knowledge by both conventional and geostatistical methods by Oberthür, T., Goovaerts, P., Dobermann, A.

“…These data were complemented with 'soft' information derived from farmers and soil experts (Northeast Thailand) and soil maps (Nueva Ecija, Philippines). Interpolated maps agreed with the texture map based on interpolation of particle size distribution, and ®eld estimates of soil texture proved to be valuable surrogates for laboratory measurements of soil texture classes. …”
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Geo-statistical approach for prediction of groundwater quality in Chunnakam Aquifer, Jaffna Peninsula by Arasalingam, Sutharsiny, Manthrithilake, Herath, Pathmarajah, S., Mikunthan, T., Vithanage, Meththika

“…Then the best method for interpolation was selected, using cross validation and RMSE. …”
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Comparison of disease patterns assessed by three independent surveys of cassava mosaic virus disease in Rwanda and Burundi by Bouwmeester, H.J., Heuvelink, Gerard B.M., Legg, James P., Stoorvogel, J.J.

“…Geostatistical techniques were used to interpolate the pointbased surveys and predict the spatial distributions of different measures of the disease. …”
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Evaluation of bias correction method for satellite-based rainfall data by Bhatti, H.A., Rientjes, T.H.M., Haile, Alemseged Tamiru, Habib, E., Verhoef, W.

“…To systematically correct all CMORPH estimates, station based bias factors are spatially interpolated to yield a bias factor map. Reliability of interpolation is assessed by cross validation. …”
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