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Estimación de un modelo SAR para datos panel con coeficientes espaciales específicos
(Departamento de EstadísticaUniversidad Nacional de Colombia - Sede Bogotá, 2019-10-28)
Los modelos espaciales auto-regresivos permiten describir la dependencia espacial que surge cuando los valores que adopta una variable en una región o lugar están relacionados con las observaciones vecinas. Extensiones de ...
A retrospective cross-national examination of COVID-19 outbreak in 175 countries: a multiscale geographically weighted regression analysis (January 11-June 28, 2020)
Objective: This study retrospectively examined the health and social determinants of the COVID-19
outbreak in 175 countries from a spatial epidemiological approach.
Methods: We used spatial analysis to examine the ...
Modelos de regresión espacio-temporal Bayesianos aplicados al mercado de alojamiento AirBnB y HomeAway en Bogotá para el periodo 2015-2019
(Universidad Santo TomásMaestría Estadística AplicadaFacultad de Estadística, 2022-04-12)
Digital platforms such as Airbnb and HomeAway have grown significantly in recent years in the tourist accommodation market in Bogotá. This paper analyzes the behavior of the occupancy rate, the number of properties and the ...
Resource book: Earth observation and climate data analysis for agricultural drought monitoring in South Asia
(South Asian Association for Regional Cooperation (SAARC) Agriculture Centre (SAC), 2019)
Use of thermal and vegetation index data from earth observing satellites to evaluate the risk of schistosomiasis in Bahia, Brazil
(2001)
A geographic information system (GIS) was constructed using maps of regional agroclimatic features, vegetation
indices and earth surface temperature data from environmental satellites, together with Schistosoma mansoni
prevalence ...
Reconstrucción de mapas históricos del centro de México, siglos XVI y XVII, a través de un Sistema de Información Geográfica (SIG)Reconstruction of Historic Maps of Central Mexico - S. XVI and XVII Using Geographic Infor- mation System (GIS)
(Pontificia Universidad Católica del Perú. Fondo EditorialPE, 2018)
A visual summary of spatio-temporal events that preserve áreas and neighborhoods in a 2D plot
(2021-12)
The analysis of time-evolving clusters is an essential task in the study of spatio-temporal
data. People often use these clusters to represent events automatically detected in many
fields, such as human mobility and ...