Land surface temperature and socioeconomic residential segregation in the Metropolitan Zone of San Luis Potosí, Mexico.

Economic growth and urban sprawl in territorial systems produce an uneven distribution of infrastructure and services. This creates residential areas with high capital gains that are affordable only for the middle and upper classes. For lower-income groups, the only options are depressed urban areas with limited infrastructure.

Modeling spatial pattern of dengue in North Central Mexico using survey data and logistic regression.

Dengue is a major public health concern mainly in tropical and subtropical environments worldwide. Despite several attempts to prevent this disease occurring in tropical regions of Mexico, it has not yet been controlled. This work focused on spatial modeling of confirmed dengue fever cases that occurred during the period 2010-2014 in the Huasteca Potosina region of Mexico.

[Geographic distribution of birds in the Sierra Madre Oriental of San Luis Potosi, Mexico: a regional analysis of conservation status].

The Sierra Madre Oriental region in the mexican state of San Luis Potosi is a relevant place for bird conservation at a country level. Therefore the main goal of this study was to analyze the geographic patterns of distribution and the conservation current state of the birds, to support the needs to expand the conservation areas in the future. Data was collected from various databases of zoological museums and collections, and field sampling methods conducted from January 2009 to May 2011.

Spatial configuration of land-use/land-cover in the Pujal-Coy project area, Huasteca Potosina region, Mexico.

This article analyzes the relationship between the configuration and spatial reorganization of land-use and land-cover in the Pujal-Coy project area, Huasteca Potosina region, eastern San Luis Potosí, Mexico, as well as the relationship between these changes and the environmental conditions prevailing in the area. Land-use and land-cover changes were determined through the analysis and interpretation of satellite images from different dates. The changes identified in the different study periods were correlated with the prevailing physical factors.