NCSU GeoForAll Lab
at the
Center for Geospatial Analytics
North Carolina State University
Corey White, NCSU
Doug Newcomb, USFWS
NCGIS 2019 Winston-Salem
Learn once, use forever.
Manage and analyze spatio-temporal datasets (time series)
by Sören Gebbert and Thomas Leppelt
(visualization tools by Anna Petrasova and Luca Delucchi)
Visualize spatio-temporal datasets and other series
by Anna Petrasova
In total, more than 10,000 changes have been implemented in 7.0 with respect to GRASS GIS 6.4.
Create Python scripts and modules with ease
by Vaclav Petras
d.legend.vect - automatic and customizable legends
by Adam Laza and GSoC mentors
r3.flow - flow lines in a 3D raster
r3.gradient - gradients in a 3D raster
by Anna Petrasova
grass72 /grassdata/nc_spm/work1 --exec \ r.viewshed input=elevation output=viewshed \ coordinates=642964,222890
by Vaclav Petras
by Thomas Leppelt and Soeren Gebbert
by Luca Delucchi
by Vaclav Petras; Contribute better graphic designs!
r.geomorphon - landform detection
by Jarek Jasiewicz and Tomek Stepinski
r.sun - new parallelized version
by Stanislav Zubal and Michal Lacko
reading and writing to disk is now faster for no-data values
by Markus Metz
g.gui.datacatalog - browse, manage, and reproject raster and vector maps
by Tereza Fiedlerova and Anna Petrasova
Map Display now shows computational region extent by default
by Martin Landa
grey, viridis, inferno, magma, plasma, and grass
viridis as default color table
by Vaclav Petras and Pierre Roudier
r.buildvrt - creates virtual raster (VRT) mosaics from a list of input raster maps
by Markus Metz
ZSTD - an improvement over ZLIB method, providing both faster and higher compression
by Markus Metz
the segment library uses a new fast all-in-memory cache instead of a file-based cache if all data can be kept in memory
faster cost path, point cloud binning, stream and flow, i.segment, v.surf.bspline
by Markus Metz
r.mapcalc.simple - simplified syntax for compatibility with QGIS
r.mapcalc.simple expression="A + B + C" a=one b=two c=three output=four
by Vaclav Petras
i.superpixels.slic - image segmentation using SLIC superpixels
by Rashad Kanavath and Markus Metz
download, import, preprocessing, cloud detection, and masking of Sentinel 2 data
by Roberta Fagandini, Martin Landa, Moritz Lennert, and Roberto Marzocchi
r.in.pdal - binning of points using PDAL for LAS reading
by Anika Bettge and Vaclav Petras
v.profile.points - transects of point clouds
by Vaclav Petras
Hydrologic and hydraulic model of surface water flow
by Laurent Courty
github.com/wenzeslaus/grass-gis-talks
geospatial.ncsu.edu/engage/service-center
Twitter: vaclavpetras
GitHub: wenzeslaus
GitLab: vpetras
Meet me here: NCSU booth, poster session, next talks