Chinese central government promised to reduce its CO 2 emissions intensity by 40%–45%
by 2020 compared to the level of 2005. However, with limited knowledge on local CO 2 …

Geographically weighted regression (GWR) is a local spatial regression technique to model
varying relationships in many application domains, such as ecology, environmental …

Despite evidence of the growing importance of shared socioeconomic pathways (SSPs) in
addressing climate change globally, there is a gap in research concerning the prediction of …

To measure population changes in areas where census unit boundaries do not align across
time, a common approach is to interpolate data from one census's units to another's. This …

Choropleth maps visualize areal geographical data by grouping data into a few map classes
and assigning different colors, shades, or patterns. Recent studies show that data …

High-resolution population density data are crucial for advanced geographical analysis but
are difficult to obtain owing to personal data protection. This paper presents a method to …

Areal interpolation is routinely used when spatial data are unavailable at desired
geographical units. While many methods are available, few of them were developed …

Este trabalho apresenta uma análise da ocupação intraurbana em Altamira (PA), em 2000 e
2010, baseada na interpolação dasimétrica de dados de domicílios dos censos …

The communication devices have produced digital traces for their users either voluntarily or
not. This type of collective data can give powerful indications that are affecting the urban …

The US decennial census is an invaluable source to guide demographic analysis. It
enumerates demographic characteristics within different levels of geography to protect …