150810 ilts workshop_handson_presentation
TRANSCRIPT
Introduction Hands-on of QGIS Introduction of open source softwares
Hands-on for scientific data analysisusing open source software
Takayuki Nuimura1,2
1Chiba Institute of Science
2OSGeo.JP
ILTS, Hokkaido University (2015/08/10)
Introduction Hands-on of QGIS Introduction of open source softwares
Scientific computing is not special tool
Scientific computing (e.g. GIS, remote sensing) is not special toolsin earth science area.
http://www.the-cryosphere.net/highlight_articles.html
Introduction Hands-on of QGIS Introduction of open source softwares
Difficulty in scientific computing
High cost of commertial software
ArcGIS (390,000 yen)
MATLAB (295,000 yen)
SAS (620,000 yen), etc. . . .
Educational institute can use discount price. But it makescolaborative research with non-educational institute difficult.
Various file format of scientific data
GeoTIFF, Shapefile
netCDF, HDF
CSV, XML, etc. . . .
High learning cost for non-experienced researcher(e.g. graduate student).
Introduction Hands-on of QGIS Introduction of open source softwares
Work flow of this hands-on
1. Hands-on of open source GIS software (QGIS)1.1 Import various scientific data format1.2 Spatial analysis1.3 Data visuallization
2. Introduction of other open source softwares2.1 GDAL/OGR2.2 GMT2.3 R2.4 GRASS GIS
Introduction Hands-on of QGIS Introduction of open source softwares
QGIS
GUI based (Desktop) GIS
http://www.qgis.org/
ver. 2.10.1
Available data format
GeoTiff/Shapefile
netCDF (raster), HDF (raster)
CSV, KML, et al. . .
Introduction Hands-on of QGIS Introduction of open source softwares
Import various scientific data format
Case of standard GIS/RS format
GeoTiff
Raster (grid data)
http://www2.jpl.nasa.gov/srtm/
Shapefile
Vector (point, line, polygon)
http://www.glims.org/RGI/
(Nuimura et al., 2015)
Introduction Hands-on of QGIS Introduction of open source softwares
Import various scientific data format
=⇒DEMO
Introduction Hands-on of QGIS Introduction of open source softwares
Spatial analysis
=⇒DEMO
raster
1. Raster =⇒ Zonal statistics
2. View =⇒ Statistical summary
vector
1. Vector =⇒ Polygon centroid
2. Raster =⇒ Heatmap
Introduction Hands-on of QGIS Introduction of open source softwares
Data visuallization
=⇒DEMO
1. Project =⇒ New print composer
Introduction Hands-on of QGIS Introduction of open source softwares
GDAL/OGR
GIS library used by many of GIS (ArcGIS too)Command line tools
http://www.gdal.org/
ver. 2.0.0
Available data format
GeoTiff/Shapefile
netCDF (raster), HDF (raster)
CSV, KML, et al. . .GDAL/OGR site
Introduction Hands-on of QGIS Introduction of open source softwares
GMT
Map visuallization tool
http://gmt.soest.hawaii.edu/
ver. 5.1.2
Available data format
netCDF
CSV, GMT ascii, et al. . .
Introduction Hands-on of QGIS Introduction of open source softwares
R
Statistics programing language
http://cran.r-project.org/
Available data format
GeoTiff/Shapefile
netCDF, HDF
CSV, KML, et al. . .
Introduction Hands-on of QGIS Introduction of open source softwares
Reading HDF in R
library(rhdf5)hdf.filepath <- [path to hdf file]x <- as.numeric(h5read(hdf.filepath, "Data_40HZ/Geolocation/d_lon"))y <- as.numeric(h5read(hdf.filepath, "Data_40HZ/Geolocation/d_lat"))z <- as.numeric(h5read(hdf.filepath, "Data_40HZ/Elevation_Surfaces/d_elev"))t <- as.Date(as.POSIXct(h5read(hdf.filepath, "Data_40HZ/Time/d_UTCTime_40"),origin="2000-01-01", tz="GMT"))
Introduction Hands-on of QGIS Introduction of open source softwares
GRASS GIS
Various spatial function. Batch processing using bash/python
http://grass.osgeo.org/
ver. 7.0.1
Available data format
GeoTiff/Shapefile
netCDF (raster)
CSV, KML, et al. . .
Introduction Hands-on of QGIS Introduction of open source softwares
URL list of hands-on
Presentation slide file
Hands-on data
Software web site list
are listed in following URL.
http://bit.ly/ilts2015