Sentence examples for maps of geographic from inspiring English sources

All of the programs can do theme maps of geographic data by displaying matching areas in various colors, densities, patterns and proportional symbol sizes.

Maps of geographic variation produced from regression equations corresponded closely with large physiographic features across the landscape including level III ecoregions (Fig. 2).

The CDC report recognizes the need to "develop maps of geographic distribution of LD with improved accuracy and predictive power" beyond the county-based national LD risk map.

The text is enhanced by electron micrographs of representative agents, photographs of rodent reservoirs in their native habitat, maps of geographic distributions, and schematic representations of genome organization and replication strategies.

Recently, many studies have found that two-dimensional spatial maps generated from principal components analysis (PCA) applied to human genetic data closely match maps of geographic sampling locations of populations (e.g., Lao et al. 2008; Novembre et al. 2008; Price et al. 2009; Bryc et al. 2010; Wang et al. 2010; Xing et al. 2010).

When the 1993 Jepson Manual was published, its map of Geographic Subdivisions of California drew the KR boundary to exclude this landscape, including it in the adjacent Cascade Ranges (CaR).

The GIS Weasel has a library of over 200 routines that can be applied to any raster map of geographic features to generate information about shape, area, or topological association with other features of the same or different maps.

Mapping of geographic boundaries was conducted to locate all 33 communities and main roads.

The WRI Aqueduct tool maps indicators of geographic water risks, complementing the Ceres Aqua Gauge framework for assessing companies' response to water risk.

"If this were a continent that is being explored, it is as if we have good maps of the geographic subdivisions along the fringes but there is an unknown interior.

Combining these two sources of data, they used the survey data to train a machine learning model to predict a person's wealth based on their call records… they were able to produce high-resolution maps of the geographic distribution of wealth in Rwanda.