Abstract: Embodiments relate to visualization of positional geospatial uncertainty. Initially, a map image request for geographic features is received from a client computing device, where the map image request includes an uncertainty type, a distribution shape, and a selected visualization technique. An uncertainty buffer pixel size is determined based on a geographic distance covered by the distribution shape.

Abstract: Embodiments relate to visualization of positional geospatial uncertainty. Initially, a map image request for geographic features is received from a client computing device, where the map image request includes an uncertainty type, a distribution shape, and a selected visualization technique. An uncertainty buffer pixel size is determined based on a geographic distance covered by the distribution shape.

Abstract: Embodiments relate to hash-based synchronization of geospatial vector features. Initially, a list of spatial data layers in a source spatial datastore is obtained. For each of the spatial data layers, a source layer hash is determined for a source data layer of the spatial data layers, a destination data layer is identified in a destination spatial datastore that is related to the source data layer, where the destination data layer is associated with a destination layer hash, and in response to determining that the source layer hash and the destination layer hash do not match, source features from the source data layer are selectively synchronized to the destination data layer.

Abstract: Embodiments relate to hash-based synchronization of geospatial vector features. Initially, a list of spatial data layers in a source spatial datastore is obtained. For each of the spatial data layers, a source layer hash is determined for a source data layer of the spatial data layers, a destination data layer is identified in a destination spatial datastore that is related to the source data layer, where the destination data layer is associated with a destination layer hash, and in response to determining that the source layer hash and the destination layer hash do not match, source features from the source data layer are selectively synchronized to the destination data layer.

Abstract: A method and system for efficiently converting an image from a first map projection to a second map projection image. The method includes precomputing coordinates in the first map projection for a subset of the total number of pixels in an empty second map projection image and subsequently, finding the first map projection coordinates of each of the remaining pixels by linear interpolation using the precomputed first map projection coordinates of the nearest surrounding precomputed pixels. A color is assigned to the second map projection image pixel with bilinear interpolation using color values of surrounding first map projection pixels. If the first map projection has fiducials, only the area within the fiducials is considered. An embodiment converts a USGS DOQ in UTM format into Geodetic coordinates.