Methods to account for spatial autocorrelation in the analysis of species distributional data: a review

C F. Dormann, J M. McPherson, M B. Araújo… - …, 2007 - Wiley Online Library
Species distributional or trait data based on range map (extent‐of‐occurrence) or atlas
survey data often display spatial autocorrelation, ie locations close to each other exhibit …

Digital soil map** algorithms and covariates for soil organic carbon map** and their implications: A review

S Lamichhane, L Kumar, B Wilson - Geoderma, 2019 - Elsevier
This article reviews the current research and applications of various digital soil map**
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …

[HTML][HTML] Spatial-temporal heterogeneity of ecosystem service interactions and their social-ecological drivers: Implications for spatial planning and management

H ** species distributions: Spatial inference and prediction: Cambridge University Press, 2009, 320 pp …
SK Friedman - 2011 - Springer
The growth of data analysis techniques proceeds at astounding rates and it is often difficult
to maintain familiarity with its development. So too is the growth of sub-disciplines in …

Drivers of ecosystem services and their trade-offs and synergies in different land use policy zones of Shaanxi Province, China

Y Yang, X Yuan, J An, Q Su, B Chen - Journal of Cleaner Production, 2024 - Elsevier
Clarifying the marginal effects of dominant factors influencing ecosystem services in different
land use policy zones and the resulting changes in trade-offs and synergies within …

A geographically weighted regression kriging approach for map** soil organic carbon stock

S Kumar, R Lal, D Liu - Geoderma, 2012 - Elsevier
Local variations in the model parameters can play an important explanatory role in the
spatial modeling of soil organic carbon (SOC) stock. Linear regression models assume …

Exploring spatial patterns and drivers of forest fires in Portugal (1980–2014)

AN Nunes, L Lourenço, ACC Meira - Science of the total environment, 2016 - Elsevier
Abstract Information on the spatial incidence of fire ignition density and burnt area, trends
and drivers of wildfires is vitally important in providing support for environmental and civil …

Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics

L Yang, Q Guan, J Lin, J Tian, Z Tan, H Li - Remote sensing of environment, 2021 - Elsevier
The evolution of vegetation patterns plays a crucial role in monitoring ecosystem dynamics
in face of global warming. Notably, the time-series vegetation trends vary unevenly over …

Within‐taxon niche structure: niche conservatism, divergence and predicted effects of climate change

PB Pearman, M D'Amen, CH Graham, W Thuiller… - …, 2010 - Wiley Online Library
Several studies have observed that taxa below the level of species can vary in the degree to
which they differ from one another in the environmental space they occupy. These patterns …

Investigating urban heat island through spatial analysis of New York City streetscapes

RR Shaker, Y Altman, C Deng, E Vaz… - Journal of cleaner …, 2019 - Elsevier
Cities experience the urban heat island (UHI), which continue to pose challenges for
humanity's increasingly urban population. Past research has revealed that land cover …