herdersTA-package: herdersTA: Extracting Movement Characteristics from GPS...
In henningte/herdersTA: Extracting Movement Characteristics from GPS Trajectories of Nomadic Households
Description
herdersTA provides functions in order to extract movement characteristics
from high-temporal resolution GPS trajectories of nomadic households. Key functions are
the extraction of visited locations using density-based clustering and flexible time
thresholding, the identification of individual visits, gap filling, temporal aggregation and the
extraction of raster and polygon data at locations. Moreover, functions to plot the
time course of visited locations with additional information while ensuring anonymisation
are provided.
Author(s)
Maintainer: Henning Teickner h_teic01@uni-muenster.de
Authors:
Christian Knoth christian.knoth@uni-muenster.de
henningte/herdersTA documentation built on Jan. 22, 2020, 5:16 a.m.
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Description
herdersTA provides functions in order to extract movement characteristics from high-temporal resolution GPS trajectories of nomadic households. Key functions are the extraction of visited locations using density-based clustering and flexible time thresholding, the identification of individual visits, gap filling, temporal aggregation and the extraction of raster and polygon data at locations. Moreover, functions to plot the time course of visited locations with additional information while ensuring anonymisation are provided.
Author(s)
Maintainer: Henning Teickner h_teic01@uni-muenster.de
Authors:
Christian Knoth christian.knoth@uni-muenster.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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