A review of software for spatial econometrics in R
The software for spatial econometrics available in the R system for statistical computing is
reviewed. The methods are illustrated in a historical perspective, highlighting the main lines …
reviewed. The methods are illustrated in a historical perspective, highlighting the main lines …
[HTML][HTML] Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost
Z Li - Computers, Environment and Urban Systems, 2022 - Elsevier
Abstract Machine learning and artificial intelligence (ML/AI), previously considered black box
approaches, are becoming more interpretable, as a result of the recent advances in …
approaches, are becoming more interpretable, as a result of the recent advances in …
Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England
In this study, we aimed to examine spatial inequalities of COVID-19 mortality rate in relation
to spatial inequalities of socioeconomic and environmental factors across England …
to spatial inequalities of socioeconomic and environmental factors across England …
Spatial smoothing using graph Laplacian penalized filter
H Yamada - Spatial Statistics, 2024 - Elsevier
This paper considers a filter for smoothing spatial data. It can be used to smooth data on the
vertices of arbitrary undirected graphs with arbitrary non-negative spatial weights. It consists …
vertices of arbitrary undirected graphs with arbitrary non-negative spatial weights. It consists …
Incorporating spatial autocorrelation in machine learning models using spatial lag and eigenvector spatial filtering features
X Liu, O Kounadi, R Zurita-Milla - ISPRS International Journal of Geo …, 2022 - mdpi.com
Applications of machine-learning-based approaches in the geosciences have witnessed a
substantial increase over the past few years. Here we present an approach that accounts for …
substantial increase over the past few years. Here we present an approach that accounts for …
Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
Nowadays, 23% of the world population lives in multi-million cities. In these metropolises,
criminal activity is much higher and violent than in either small cities or rural areas. Thus …
criminal activity is much higher and violent than in either small cities or rural areas. Thus …
A global test of Allen's rule in rodents
Aim We test whether geographical variation in the length of appendages in rodent species
follows predictions of Allen's rule (a positive relationship between appendage length and …
follows predictions of Allen's rule (a positive relationship between appendage length and …
The importance of scale in spatially varying coefficient modeling
Although spatially varying coefficient (SVC) models have attracted considerable attention in
applied science, they have been criticized as being unstable. The objective of this study is to …
applied science, they have been criticized as being unstable. The objective of this study is to …
Transit to parks: An environmental justice study of transit access to large parks in the US West
Large parks—including regional parks, state parks, and national forests and parks—have
particular health, social, and environmental benefits. Thus, promoting equal access to large …
particular health, social, and environmental benefits. Thus, promoting equal access to large …
Estimating local-scale domestic electricity energy consumption using demographic, nighttime light imagery and Twitter data
To implement a new mixed approach for electricity energy consumption estimates, this study
aimed to estimate country-wide local-scale electricity consumption by combining …
aimed to estimate country-wide local-scale electricity consumption by combining …