Results 71 to 80 of about 312,615 (81)
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. +2 more
doaj +1 more source
A generative deep neural network as an alternative to co-kriging
Applied Computing and GeosciencesIn geosciences, kriging is leading spatial interpolation, and co-kriging is the most commonly used method for accomplishing spatial interpolation of a target variable by incorporating information from a secondary variable.
Herbert Rakotonirina +3 more
doaj +1 more source
3D Point Capsule Networks [PDF]
, 2018 In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
Birdal, Tolga +3 more
core
GeodermaSoil moisture is a key factor in hydrological, biological, and chemical processes, and plays a critical role in maintaining ecosystem balance. To generate high-resolution soil moisture maps at regional scales, researchers primarily employed in-situ ...
Mo Zhang +3 more
doaj +1 more source
Spatial characteristics of thunderstorm rainfall fields and their relation to runoff [PDF]
, 2003 The main aim of this study was to assess the ability of simple geometric measures of thunderstorm rainfall in explaining the runoff response from the watershed. For calculation of storm geometric properties (e.g.
Goodrich, DC +3 more
core +1 more source
A Simple Solution for the Inverse Distance Weighting Interpolation (IDW) Clustering Problem
SciInverse Distance Weighting (IDW) is a common method for spatial interpolation. Still, its accuracy decreases when there is a cluster of measurement stations or when some measuring stations are hidden behind others. This paper introduces Clusters Unifying
Nir Benmoshe
doaj +1 more source
Choosing the Best Method of Interpolation for the Average Zoning of Annual Temperature in Iran [PDF]
جغرافیا و پایداری محیط, 2015 The present study was done through Iran to investigate the best method of spatial interpolation to estimate the annual average temperature. Therefore, the data of 180 synoptic stations in Iran were used.
Mohammad Golshan +2 more
doaj
Applications of remote sensing to stream discharge predictions [PDF]
A feasibility study has been initiated on the use of remote earth observations for augmenting stream discharge prediction for the design and/or operation of major reservoir systems, pumping systems and irrigation systems. The near-term objectives are the
Krause, F. R., Winn, C. B.
core +1 more source
An approach to solving the problem of geomagnetic data scarcity in decision-making support
Научно-технический вестник информационных технологий, механики и оптикиOne of the main problems of using data in decision-making support is their scarcity in certain spatial points/areas due to the inability to carry out appropriate measurements. An example is the Earth’s magnetic field data (geomagnetic data) which is used
G. R. Vorobeva +2 more
doaj +1 more source
Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method
EnergiesTo enhance the prediction accuracy of offshore wind speed, this study employs an interpolation algorithm to improve spatial resolution based on the ERA5 reanalysis dataset.
Wenchuan Meng +7 more
doaj +1 more source