Results 61 to 70 of about 32,193 (219)
Spatio-temporal regression kriging for modelling urban NO2 concentrations [PDF]
International Journal of Geographical Information Science, 2019 Recently developed urban air quality sensor networks are used to monitor air pollutant concentrations at a fine spatial and temporal resolution. The measurements are however limited to point support. To obtain areal coverage in space and time, interpolation is required.
Vera van Zoest +3 more
openaire +2 more sources
Heat Transfer, EarlyView.ABSTRACT Compact plate‐fin heat exchangers (PFHEs) are commonly utilized in diverse industries, including aerospace, automotive, processing, and space. Various fin configurations, such as Plain fins, Wavy fins, Lance and Offset fins (OSFs), Perforated fins, louvered fins, and pin fins, are employed in compact heat exchangers (CHEs).
Chennu Ranganayakulu
wiley +1 more source
Soil depth prediction supported by primary terrain attributes: a comparison of methods
Plant, Soil and Environment, 2006 The objective of this study was to investigate the benefits of methods that incorporate terrain attributes as covariates into the prediction of soil depth.
V. Penížek, L. Borůvka
doaj +1 more source
Nonparametric Methods in Astronomy: Think, Regress, Observe -- Pick Any Three [PDF]
, 2018 Telescopes are much more expensive than astronomers, so it is essential to minimize required sample sizes by using the most data-efficient statistical methods possible.
Jermyn, Adam S., Steinhardt, Charles L.
core +2 more sources
Long‐Term Variability and Spatial Differentiation of the Frost‐Free Period in Iceland
International Journal of Climatology, EarlyView.Warming in Iceland (May–September) is expressed as fewer Tmin < 0°C days in the interior and more Tmin > 0°C days along the coasts. ABSTRACT Climate change in subarctic regions leads to significant transformations in thermal conditions; however, the long‐term variability of the frost‐free season (FFS)—and consequently, the growing period—remains poorly
Katarzyna Piotrowicz +3 more
wiley +1 more source
Remote Sensing, 2020 Land Surface Models (LSM) have become indispensable tools to quantify water and nutrient fluxes in support of land management strategies or the prediction of climate change impacts. However, the utilization of LSM requires soil and vegetation parameters,
Philip Marzahn, Swen Meyer
doaj +1 more source
Focal‐Feature Regression Kriging
Geographical AnalysisABSTRACT Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Peng Luo, Yilong Wu, Yongze Song
openaire +1 more source
Land Degradation &Development, EarlyView.ABSTRACT Ensuring the long‐term erosional stability of post‐mining landforms remains a major challenge in open‐pit mining. Reconstructed landscapes must support the agreed post‐mining land use, such as cattle grazing in the Hunter region of southeastern Australia, requiring stable pasture and minimal soil loss.
I. P. Senanayake, G. R. Hancock
wiley +1 more source
Frontiers in Plant Science, 2023 The relationship between plant functional traits and ecosystem function is a hot topic in current ecological research, and community-level traits based on individual plant functional traits play important roles in ecosystem function.
Yudong Chen +20 more
doaj +1 more source
Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale [PDF]
, 2014 Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change.
Arrouays, D. +8 more
core +3 more sources