Results 171 to 180 of about 37,239 (228)

Clarifying space use concepts in ecology: Range vs. occurrence distributions. [PDF]

Ecology
Alston JM, Fleming CH, Noonan MJ, Tucker MA, Silva I, Folta C, Akre TSB, Ali AH, Belant JL, Beyer D, Blaum N, Böhning-Gaese K, de Paula RC, Dekker J, Drescher-Lehman J, Farwig N, Fichtel C, Fischer C, Ford AT, Janssen R, Jeltsch F, Kappeler PM, LaPoint SD, Markham AC, Medici EP, Morato RG, Nathan R, Olson KA, Patterson BD, Petroelje TR, Ramalho EE, Rösner S, Oliveira-Santos LGR, Schabo DG, Selva N, Sergiel A, Spiegel O, Ullmann W, Zięba F, Zwijacz-Kozica T, Wittemyer G, Fagan WF, Müller T, Calabrese JM.   +43 more
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Macro and micronutrient based soil fertility zonation using fuzzy logic and geospatial techniques. [PDF]

Sci Rep
Venkateswarlu M, Rallapalli S, Singh A, Chalapathi GSS, Kumar S, Katpatal YB, Sujatha G.   +6 more
europepmc   +1 more source

Study on Non-Destructive Testing Method of Existing Asphalt Pavement Based on the Principle of Geostatistics. [PDF]

Materials (Basel)
Wang D, Luo C, Fu M, Zhang W, Xie W.
europepmc   +1 more source

Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation. [PDF]

PLoS One
R S, Jain R, Singh VK, Bharadwaj A, Sehgal VK, Biswas A, Arora A, Krishna H.   +7 more
europepmc   +1 more source

Fractal modeling of Baba Ali iron ore deposit geophysical data in western Iran for magnetic anomaly separation in GIS environment. [PDF]

Sci Rep
Seyedrahimi-Niaraq M, Shahsavani H.
europepmc   +1 more source

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Private Outsourced Kriging Interpolation

2017
Kriging is a spatial interpolation algorithm which provides the best unbiased linear prediction of an observed phenomena by taking a weighted average of samples within a neighbourhood. It is widely used in areas such as geo-statistics where, for example, it may be used to predict the quality of mineral deposits in a location based on previous sample ...
Alderman, James, Curtis, Benjamin R., Farràs, Oriol, Martin, Keith M., Ribes-González, Jordi   +4 more
openaire   +1 more source

Using Kriging to interpolate MRI data

Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2002
Volumetric medical MRI data is statistically analyzed to justify representing the data as regionalized variables (REVs) that may be optimal interpolated using kriging in conjunction with a volumetric structural analysis of the modality space (MS) data. With kriging, the interpolation estimation error may be determined and subsequently projected in the ...
S.M. Matechik, M.R. Stytz
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Texture Interpolation Using Ordinary Kriging

2005
We present a survey of the application of ordinary Kriging to texture interpolation using a variety of models that have been proposed to model the variogram of the image. The novelty of our approach is in the fully automated process of fitting the models to the data over a finite range of values.
Sunil Chandra, Maria Petrou, Roberta Piroddi   +2 more
openaire   +1 more source