Results 21 to 30 of about 1,198,610 (285)
NONPARAMETRIC PREDICTION WITH SPATIAL DATA
Econometric Theory, 2022 We describe a (nonparametric) prediction algorithm for spatial data, based on a canonical factorization of the spectral density function. We provide theoretical results showing that the predictor has desirable asymptotic properties. Finite sample performance is assessed in a Monte Carlo study that also compares our algorithm to a rival nonparametric ...
Gupta, Abhimanyu, Hidalgo, Javier
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Land, 2023 This study aimed at (i) developing, evaluating and comparing the performance of support vector machines (SVM), boosted regression trees (BRT), random forest (RF) and logistic regression (LR) models in mapping gully erosion susceptibility, and (ii ...
Kennedy Were +8 more
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On the Spatial Predictability of Communication Channels [PDF]
IEEE Transactions on Wireless Communications, 2012 In this paper, we are interested in fundamentally understanding the spatial predictability of wireless channels. We propose a probabilistic channel prediction framework for predicting the spatial variations of a wireless channel, based on a small number of measurements.
Mehrzad Malmirchegini, Yasamin Mostofi
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Geoparcel-Based Spatial Prediction Method for Grassland Fractional Vegetation Cover Mapping
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Grassland resources guarantee the balance of ecosystems and the sustainable development of animal husbandry. Spatial information is essential for grass resource management in pastoral areas, which can be extracted quickly on a large-scale by using remote
Tianjun Wu +7 more
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Estimation of Spring Maize Planting Dates in China Using the Environmental Similarity Method
Agronomy, 2023 Global climate change is a serious threat to food and energy security. Crop growth modelling is an important tool for simulating crop food production and assisting in decision making. Planting date is one of the important model parameters.
Meiling Sheng +5 more
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Bibechana, 2023 Bagmati river is biologically, geologically, religiously and historically significant among the river systems of the Kathmandu Valley. The river is affected by five major tributaries, including Manohara, Dhobi Khola, Tukucha, Bishnumati, and Balkhu ...
Pujan Bashyal +2 more
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Geospatial Least Squares Support Vector Regression Fused with Spatial Weight Matrix
ISPRS International Journal of Geo-Information, 2021 Due to the increasingly complex objects and massive information involved in spatial statistics analysis, least squares support vector regression (LS-SVR) with a good stability and high calculation speed is widely applied in regression problems of ...
Haiqi Wang +6 more
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Frontiers in Water, 2023 The prediction of groundwater nitrate concentration's response to geo-environmental and human-influenced factors is essential to better restore groundwater quality and improve land use management practices.
Divas Karimanzira +5 more
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Using the reflectance parameters as covariates of the organic matter content in fallow soils
Учёные записки Казанского университета: Серия Естественные науки, 2022 This article estimates whether the reflectance parameters of air-dried (< 0.25 mm) soil samples in the visible and infrared (IR) spectral regions can be used as a covariate of the soil organic matter content (SOM) in old-arable horizons of fallows.
K.G. Giniyatullin +5 more
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Spatial Link Prediction with Spatial and Semantic Embeddings
, 2023 AbstractSemantic geospatial applications, such as geographic question answering, have benefited from knowledge graphs incorporating information regarding geographic entities and their relations. However, one of the most critical limitations of geographic knowledge graphs is the lack of semantic relations between geographic entities.
Genivika Mann +3 more
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