Results 81 to 90 of about 7,767 (249)

Integrating multiple surveys using state–space models improves inference of population trends for Illinois furbearers

Wildlife Biology, EarlyView.
Long‐term population monitoring is fundamental to wildlife population management. Furbearer populations are often surveyed using multiple methods, but many estimates of their abundance, especially abundance indices, do not account for detection error, and lead to conflicting interpretations of population trends.
Lauren C. Scopel, Maximilian L. Allen, Thomas J. Benson, Craig A. Miller, Kirk W. Stodola   +4 more
wiley   +1 more source

Application of Geostatistics to Mineral Resource Modeling and Estimation: Case Study of Gofolo Hill Iron Ore Deposit, Western Liberia [PDF]

Georeview
Geostatistical methods are essential in accurate mineral resource estimation, as they account for spatial correlations and uncertainties. This study evaluates the mineral resource of the Gofolo Hill deposit in Western Liberia using the ordinary kriging ...
Leo KLAH-WILSON, Aaron K. WASWA, Daniel W. ICHANG'I   +2 more
doaj   +1 more source

Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China 气候变化下中国大兴安岭漠河地区猞猁潜在适宜区的变化

Wildlife Letters, EarlyView.
Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu, Dan Ju, Hong Chen, Qi Qi, Geng Liu, Shaochun Zhou   +5 more
wiley   +1 more source

Data for: Application of Invers Distance Weighted and Ordinary Kriging interpolations in the groundwater table mapping

, 2020
Inverse distance weighting and ordinary kriging ...
Rahardjo, H
core   +2 more sources

Correcting for negative weights in ordinary kriging

Computers & Geosciences, 1996
Abstract Negative weights in ordinary kriging (OK) arise when data close to the location being estimated screen outlying data. Depending on the variogram and the amount of screening, the negative weights can be significant; there is nothing in the OK algorithm that alerts the kriging system about the zero threshold for weights. Negative weights, when
openaire   +1 more source

Semi-variogram analysis of SOC and STN for regression-kriging (a, b) and ordinary kriging (c, d).

, 2013
Semi-variogram analysis of SOC and STN for regression-kriging (a, b) and ordinary kriging (c, d).
Gao Peng (456202), Wang Bing (456203), Geng Guangpo (504177), Zhang Guangcan (456204)   +3 more
core   +1 more source

Using Harvest Data to Assess Factors Influencing Regional Population Declines of Muskrats (Ondatra zibethicus) 利用捕获数据评估影响麝鼠 (Ondatra zibethicus) 区域种群数量下降的相关因素

Wildlife Letters, EarlyView.
Reported annual per‐capita harvest of muskrats (PCHM) decreased as wetland complexity (total number of wetland patches) decreased in 13 state and federal wetland areas in the Midwest, USA. Our results support the hypothesis that regional‐scale declines in the abundance of muskrats are likely associated with the losses to wetland habitats throughout the
Tim L. Hiller, Andrea Sylvia, Jesse T. Boulerice, Adam A. Ahlers, Dwayne R. Etter, Eric M. Dunton   +5 more
wiley   +1 more source

METODE ORDINARY KRIGING PADA GEOSTATISTIKA

, 2010
Kriging adalah suatu teknik perhitungan untuk menghitung estimasi dari suatu variabel teregional yang menggunakan pendekatan bahwa data yang dianalisis dianggap sebagai suatu realisasi dari suatu variable acak, dan keseluruhan variable acak yang ...
Nur Alfiana, Anantia
core  

Species‐Specific Genetic Patterns in Sympatric Freshwater Turtles Challenge a Generalized Multi‐Species Conservation Approach

Animal Conservation, EarlyView.
We compared genetic diversity and spatial genetic structure in the snapping turtle (Chelydra serpentina; left panel), Blanding's turtle (Emydoidea blandingii; bottom right), and spotted turtle (Clemmys guttata; top right) sampled in areas of co‐occurrence across ~49,160 km2.
Christina M. Davy, Erica Newton, Niamh Wall, Robert W. Murphy   +3 more
wiley   +1 more source

Spatial Prediction of Soil Texture in Low-Relief Agricultural Areas Using Rice and Wheat Growth Information with Spatiotemporal Stability

Remote Sensing
In low-relief agricultural areas, crop cover makes it challenging to obtain remotely sensed bare soil spectral data for predicting soil texture. Therefore, this study proposed a method for predicting soil texture using crop growth information with ...
Fei Wang, Peiyu Zhang, Shaomei Chen, Tianyun Shao, Wenhao Lu, Zihan Fang, Changda Zhu, Feng Liu, Jianjun Pan   +8 more
doaj   +1 more source