Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics
Remote Sensing (RS) data and techniques, in combination with GIS and landscape metrics,
are fundamental to analyse and characterise Land Cover (LC) and its changes. The case …
are fundamental to analyse and characterise Land Cover (LC) and its changes. The case …
Missing value imputation for multi-view urban statistical data via spatial correlation learning
As a developing trend of urbanization, massive amounts of urban statistical data with
multiple views (eg, views of Population and Economy) are increasingly collected and …
multiple views (eg, views of Population and Economy) are increasingly collected and …
Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis
Traditional methods of recording fire burned areas and fire severity involve expensive and
time-consuming field surveys. Available remote sensing technologies may allow us to …
time-consuming field surveys. Available remote sensing technologies may allow us to …
Spatio-temporal analysis of the urban–rural gradient structure: An application in a Mediterranean mountainous landscape (Serra San Bruno, Italy)
The most recent and significant transformations of European landscapes have occurred as a
consequence of a series of diffused, varied and often connected phenomena: urban growth …
consequence of a series of diffused, varied and often connected phenomena: urban growth …
Using geographically weighted regression for housing market segmentation
B Manganelli, P Pontrandolfi… - … Journal of Business …, 2014 - inderscienceonline.com
Urban real estate property values are mainly conditioned by several aspects, which can be
summarised in two main classes: intrinsic and extrinsic ones. Intrinsic characters are specific …
summarised in two main classes: intrinsic and extrinsic ones. Intrinsic characters are specific …
[PDF][PDF] A spatial missing value imputation method for multi-view urban statistical data
Large volumes of urban statistical data with multiple views imply rich knowledge about the
development degree of cities. These data present crucial statistics which play an …
development degree of cities. These data present crucial statistics which play an …
Urban-rural-natural gradient analysis with CORINE data: An application to the metropolitan France
Urbanization and agriculture can be considered as main drivers of landscape change in
many parts of the world, including France, producing particular interacting environmental …
many parts of the world, including France, producing particular interacting environmental …
From perceived values to shared values: A multi-stakeholder spatial decision analysis (M-SSDA) for resilient landscapes
M Cerreta, S Panaro - Sustainability, 2017 - mdpi.com
This paper puts forth a Multi-Stakeholder Spatial Decision Analysis (M-SSDA) which
combines Multi-Stakeholders Decision Analysis (M-SDA) and GIS processing based on a …
combines Multi-Stakeholders Decision Analysis (M-SDA) and GIS processing based on a …
Models of urban land use in Europe: assessment tools and criticalities
The aim of this paper is to examine available homogenous data on urban conversion of land
in Western European countries and determine whether they are suitable to make an …
in Western European countries and determine whether they are suitable to make an …
Spatiotemporal change of urban sprawl patterns in Bamako District in Mali based on time series analysis
MA Keita, R Ruan, R An - Urban Science, 2020 - mdpi.com
For decades, urban sprawl has remained a major challenge for big cities in developing
countries, such as Bamako. The aim of this study is to analyze urban sprawl pattern changes …
countries, such as Bamako. The aim of this study is to analyze urban sprawl pattern changes …