Results 41 to 50 of about 31,493 (191)
Uncertainty of spatial averages and totals of natural resource maps
Methods in Ecology and Evolution, 2023 Global, continental and regional maps of concentrations, stocks and fluxes of natural resources provide baseline data to assess how ecosystems respond to human disturbance and global warming. They are also used as input to numerous modelling efforts. But
Alexandre M. J.‐C. Wadoux +1 more
doaj +1 more source
On the uncertainty of stream networks derived from elevation data: the error propagation approach [PDF]
, 2010 DEM error propagation methodology is extended to the derivation of vector-based objects (stream networks) using geostatistical simulations. First, point sampled elevations are used to fit a variogram model.
Hengl, T. +2 more
core +2 more sources
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Organic phosphorus mineralization is a critical process in the phosphorus cycle, governing phosphorus bioavailability for plants. The PhoD gene, which encodes the key enzyme alkaline phosphatase, serves as a valuable biomarker for this process.
Sandhya Mishra +3 more
wiley +1 more source
Model-Based Geostatistics the Easy Way
Journal of Statistical Software, 2015 This paper briefly describes geostatistical models for Gaussian and non-Gaussian data and demonstrates the geostatsp and dieasemapping packages for performing inference using these models.
Patrick E. Brown
doaj +1 more source
Addressing ecological challenges from a quantum computing perspective
Methods in Ecology and Evolution, EarlyView.Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
wiley +1 more source
Analysing spatial data via geostatistical methods [PDF]
, 2006 Faculty of Science School of Statistics snd Acturial Science 9907894x craig.morgan@goldfields.co.zaThis dissertation presents a detailed study of geostatistics.
Morgan, Craig John
core
On Spatial Point Processes With Composition‐Valued Marks
International Statistical Review, EarlyView.Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source
Spatial variability of available water and micro-sprinkler irrigation in cambisol
Revista CeresThe technology of irrigation is vital for agricultural production. Thus, description of spatial patterns of both water application and available water capacity in the soil, as well as their interactions, is essential to maximize efficiency of water use ...
Larissa Luana Nicodemos Ferreira +5 more
doaj +1 more source
Cross-Covariance Functions for Multivariate Geostatistics
, 2015 Continuously indexed datasets with multiple variables have become ubiquitous in the geophysical, ecological, environmental and climate sciences, and pose substantial analysis challenges to scientists and statisticians.
Genton, Marc G., Kleiber, William
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International Statistical Review, EarlyView.Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda +2 more
wiley +1 more source