A Probability Co-Kriging Model to Account for Reporting Bias and Recognize Areas at High Risk for Zebra Mussels and Eurasian Watermilfoil Invasions in Minnesota. [PDF]
Front Vet Sci, 2017 Zebra mussels (ZMs) (Dreissena polymorpha) and Eurasian watermilfoil (EWM) (Myriophyllum spicatum) are aggressive aquatic invasive species posing a conservation burden on Minnesota.
Kanankege KST +3 more
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Spatial mapping of soil chemical properties using multivariate geostatistics. A study from cropland in eastern Croatia [PDF]
Journal of Central European Agriculture, 2021 The spatial variability of soil chemical properties is affected by factors of soil formation and human activities. Understanding their spatial variability will improve agricultural production, reduce environmental problems (e.g., soil pollution, offsite ...
Igor Bogunovic +3 more
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Mapping forest aboveground carbon stock of combined stratified sampling and RFRK model with mean annual temperature and precipitation. [PDF]
Sci RepAccurately estimating forest aboveground carbon stock (ACS) is essential for achieving carbon neutrality. At present, most non-parametric models still have errors in estimating carbon stock in regions.
Peng M +5 more
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Estimating precipitation intensity and its spatial distribution based on fractal theory (Case study: Tireh-Borujerd watershed) [PDF]
مدلسازی و مدیریت آب و خاک, 2023 Introduction Estimating the amount and intensity of precipitation and its spatial distribution in various return periods is necessary for flood estimation hydrological models.
Tayebeh Sepahvabd +3 more
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Cold Season’s Air Temperature Geostatistical Modeling: Considering the Landsat Thermal Band and Snow Cover Area [PDF]
جغرافیا و مخاطرات محیطی, 2018 Providing climatic data like temperature in good spatial resolution is a key requirement for many geographical, ecological and bioclimatic research. With this in mind, various related studies use thermal remote sensing images as auxiliary data to enhance
مسعود مینائی
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Hungarian Geographical Bulletin, 2021 The relationship between precipitation and elevation is a well-known topic in the field of geography and meteorology. Radar-based precipitation data are often used in hydrologic models, however, they have several inaccuracies, and elevation can be one of
Tamás Schneck +2 more
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Spatial prediction of soil electrical conductivity using soil axillary data, soft data derived from general linear model and error measurement [PDF]
Desert, 2020 Indirect measurement of soil electrical conductivity (EC) has become a major data source in spatial/temporal monitoring of soil salinity. However, in many cases, the weak correlation between direct and indirect measurement of EC has reduced the accuracy ...
N. Hamzehpour, M. Rahmati, B. Roohzad
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Zhongguo Jianchuan Yanjiu, 2021 Objectives This study addresses the problem of time-consuming simulation in the optimization design of underwater structures. Focusing on time-consuming and non-time-consuming targets and constraints, it proposes an optimization method for constrained ...
Jiachang QIAN +2 more
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Sensors, 2017 In the practice of interpolating near-surface soil moisture measured by a wireless sensor network (WSN) grid, traditional Kriging methods with auxiliary variables, such as Co-kriging and Kriging with external drift (KED), cannot achieve satisfactory ...
Jialin Zhang +5 more
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Fast Performance Modeling across Different Database Versions Using Partitioned Co-Kriging
Applied Sciences, 2021 Database systems have a large number of configuration parameters that control functional and non-functional properties (e.g., performance and cost). Different configurations may lead to different performance values.
Rong Cao +6 more
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