Map Projections: A Working Manual

By J. Snyder. 2012

944 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Discovering Urban Functional Zones Using Latent Activity Trajectories (2015, methodology): “We display the vector-based road network on a plane by performing map projection [4], which transforms the surface of a shpere (i.e., the Earth) into a 2D plane (we use Mercator projection in our implementation).”
Metric Learning and Manifolds: Preserving the Intrinsic Geometry (2017, background): “…and accurate shapes over small areas; projections used for radio and seismic mapping focus on maintaining accurate distances from the center of the projection or along given lines; and projections used to compare the size of countries focus on maintaining accurate relative sizes (Snyder (1987)).”
Learning Robust Features using Deep Learning for Automatic Seizure Detection (2016, methodology): “st step consists of projecting the 3D coordinates of the patient electrodes onto a 2D surface. In order to preserve the distance between electrodes in the 3D plane, we project using Polar Projection (Snyder and Parr, 1987). Then, we assign to each electrode projection values in 3 channels representi”