qlandkartegt does not build in any bulk builds I can find, and is
discontinued upstream (in favor of qmapshack:
https://github.com/Maproom/qmapshack/wiki
in case anyone wants to package that)
PDAL is Point Data Abstraction Library. It is a C/C++ open source library
and applications for translating and processing point cloud data. It is
not limited to LiDAR data, although the focus and impetus for many of
the tools in the library have their origins in LiDAR.
geocode-glib is a convenience library for the geocoding (finding longitude,
and latitude from an address) and reverse geocoding (finding an address from
coordinates). It uses Nominatim service to achieve that. It also caches
(reverse-)geocoding requests for faster results and to avoid unnecessary server
load.
High Resolution World Vector Map Data from Natural Earth used in rnaturalearth.
Facilitates mapping by making natural earth map data from
http://www.naturalearthdata.com/ more easily available to R
users. Focuses on vector data.
Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp'
objects. 'OSM' data are extracted from the 'Overpass' web server and
processed with very fast 'C++' routines for return to 'R'.
This package provides infrastructure to access OpenStreetMap data from
different sources, to work with the data in common R manner, and to
convert data into available infrastructure provided by existing R
packages (e.g., into sp and igraph objects).
Diverse spatial datasets for demonstrating, benchmarking and teaching
spatial data analysis. It includes R data of class sf (defined by the
package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial
data packages such as 'rnaturalearth' and 'maps', it also contains
data stored in a range of file formats including GeoJSON, ESRI
Shapefile and GeoPackage. Some of the datasets are designed to
illustrate specific analysis techniques. cycle_hire() and
cycle_hire_osm(), for example, is designed to illustrate point pattern
analysis techniques.
Reading, writing, manipulating, analyzing and modeling of gridded
spatial data. The package implements basic and high-level functions.
Processing of very large files is supported. There is a also support
for vector data operations such as intersections. See the manual and
tutorials on <https://rspatial.org/> to get started.
Support for simple features, a standardized way to encode spatial
vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS'
for geometrical operations, and to 'PROJ' for projection conversions
and datum transformations. Optionally uses the 's2' package for
spherical geometry operations on geographic coordinates.
Comprehensive open-source toolbox for analysing Spatial Point
Patterns. Focused mainly on two-dimensional point patterns, including
multitype/marked points, in any spatial region. Also supports
three-dimensional point patterns, space-time point patterns in any
number of dimensions, point patterns on a linear network, and patterns
of other geometrical objects. Supports spatial covariate data such as
pixel images. Contains over 2000 functions for plotting spatial data,
exploratory data analysis, model-fitting, simulation, spatial
sampling, model diagnostics, and formal inference. Many data types and
exploratory methods are supported. Formal hypothesis tests of random
pattern and tests for covariate effects are also supported. Parametric
models can be fitted to point pattern data using the functions ppm(),
kppm(), slrm(), dppm() similar to glm(). Types of models include
Poisson, Gibbs and Cox point processes, Neyman-Scott cluster
processes, and determinantal point processes. Models may involve
dependence on covariates, inter-point interaction, cluster formation
and dependence on marks. Models are fitted by maximum likelihood,
logistic regression, minimum contrast, and composite likelihood
methods. A model can be fitted to a list of point patterns (replicated
point pattern data) using the function mppm(). The model can include
random effects and fixed effects depending on the experimental design,
in addition to all the features listed above. Fitted point process
models can be simulated, automatically. Formal hypothesis tests of a
fitted model are supported along with basic tools for model selection.
Automates the process of creating a scale bar and north arrow in any
package that uses base graphics to plot in R. Bounding box tools help
find and manipulate extents. Finally, there is a function to automate
the process of setting margins, plotting the map, scale bar, and north
arrow, and resetting graphic parameters upon completion.
Interface to Geometry Engine - Open Source ('GEOS') using the C 'API'
for topology operations on geometries. The 'GEOS' library is external
to the package, and, when installing the package from source, must be
correctly installed first. Windows and Mac Intel OS X binaries are
provided on 'CRAN'. ('rgeos' >= 0.5-1): Up to and including 'GEOS'
3.7.1, topological operations succeeded with some invalid geometries
for which the same operations fail from and including 'GEOS' 3.7.2.
The 'checkValidity=' argument defaults and structure have been
changed, from default FALSE to integer default '0L' for 'GEOS' < 3.7.2
(no check), '1L' 'GEOS' >= 3.7.2 (check and warn). A value of '2L' is
also provided that may be used, assigned globally using
'set_RGEOS_CheckValidity(2L)', or locally using the 'checkValidity=2L'
argument, to attempt zero-width buffer repair if invalid geometries
are found. The previous default (FALSE, now '0L') is fastest and used
for 'GEOS' < 3.7.2, but will not warn users of possible problems
before the failure of topological operations that previously
succeeded.
Calculates the Delaunay triangulation and the Dirichlet or Voronoi
tessellation (with respect to the entire plane) of a planar point set.
Plots triangulations and tessellations in various ways. Clips
tessellations to sub-windows. Calculates perimeters of tessellations.
The software hasn't been updated since 2002 and is probably full
of security problems. Two packages were using it. (gpsdrive has a
newer version in wip.)
