Results 51 to 60 of about 12,470 (233)

Optimal interpolation and isarithmic mapping of soil properties .1. The semi-variogram and punctual kriging [PDF]

, 2019
Kriging is a means of spatial prediction that can be used for soil properties. It is a form of weighted local averaging. It is optimal in the sense that it provides estimates of values at unrecorded places without bias and with minimum and known variance.
Webster, R., R. Webster, T. M. Burgess, Burgess, T. M.   +3 more
core   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Development of Transparent Mine Hydro-geological Modeling Software Based on Open CASCADE and Ordinary Kriging Algorithm

Meikuang Anquan, 2020
Based on Open CASCADE and Ordinary Kriging interpolation algorithm, a software development framework adding geostatistical interpolation algorithm to CAD geometry operation core for three-dimensional hydrogeological modeling is designed.
LI Peng, JIN Dewu, CHENG Jianyuan, ZHAO Chunhu
doaj   +1 more source

Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium [PDF]

Hydrology and Earth System Sciences, 2011
Spatial interpolation of precipitation data is of great importance for hydrological modelling. Geostatistical methods (kriging) are widely applied in spatial interpolation from point measurement to continuous surfaces.
S. Ly, C. Charles, A. Degré
doaj   +1 more source

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann, Cornelius Senf, Kristin H. Braziunas, Rupert Seidl, Peter Annighöfer   +4 more
wiley   +1 more source

Assessment of spatiotemporal trends in groundwater depth and salinity through GIS‐based geostatistical analysis: The case of Aksu Irrigation System in Antalya, Türkiye

River, EarlyView.
The study revealed that while groundwater depth trends were generally risk‐free, electrical conductivity showed localized risks in 38% of the Aksu Irrigation System. Overall, 25% of the area was classified as risky. The integrated GIS‐based approach provides a rapid, objective, and cost‐effective tool for precision water management. Abstract Continuous
Bekir Sitki Karatas, Bekir Cengil, Bilgehan Cetinkaya   +2 more
wiley   +1 more source

Kriging interpolation prediction map.

, 2021
Kriging interpolation method is used to predict the water iodine content in non-sampling areas. The closer the color is to dark red, the higher the water iodine content is, and the closer it is to dark green, indicating that the water iodine content is ...
Yuhua Ma (4169173), Liping Zhang (177396), Zhen Yang (107412), Yuxia Zhang (318750), Chenchen Wang (12690), Yanwu Nie (11851408), Maozai Tian (11218510), Yahong Sun (1870123), Yimu Yuan (11851411)   +8 more
core   +1 more source

INTERPOLASI SPASIAL DENGAN METODE ORDINARY KRIGING MENGGUNAKAN SEMIVARIOGRAM ISOTROPIK PADA DATA SPASIAL (Studi Kasus: Curah Hujan di Kabupaten Karangasem)

E-Jurnal Matematika, 2015
Spatial data is data that is presented in the geographic of an object, related to the location, shape and relationship of the earth in space. One of example of spatial data is rainfall. To determine the value of rainfall in an area, built to predict rain
PUTU MIRAH PURNAMA D., KOMANG GDE SUKARSA, KOMANG DHARMAWAN   +2 more
doaj   +1 more source

Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Wildlife Biology, EarlyView.
Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh, Scott Michael Brainerd, Olivier Devineau, Morten Odden, Torfinn Jahren   +4 more
wiley   +1 more source

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