GIS hands-on slide in Hokkaido University

1. Introduction Hands-on of QGIS Introduction of open source softwares
Hands-on for scientific data analysis
using open source software
Takayuki Nuimura1,2
1
Chiba Institute of Science
2
OSGeo.JP
ILTS, Hokkaido University (2015/08/10)

2. 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 tools
in earth science area.
http://www.the-cryosphere.net/highlight_articles.html

3. 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 makes
colaborative 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).

4. 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 format
1.2 Spatial analysis
1.3 Data visuallization
2. Introduction of other open source softwares
2.1 GDAL/OGR
2.2 GMT
2.3 R
2.4 GRASS GIS

5. 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. . .

6. 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)

7. Introduction Hands-on of QGIS Introduction of open source softwares
Import various scientific data format
=⇒DEMO

8. 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

9. Introduction Hands-on of QGIS Introduction of open source softwares
Data visuallization
=⇒DEMO
1. Project =⇒ New print composer

10. 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

11. 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. . .

12. 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. . .

13. 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"))

14. 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. . .

15. 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

16. References I
Nuimura, T., Sakai, A., Taniguchi, K., Nagai, H., Lamsal, D., Tsutaki, S., Kozawa, A., Hoshina, Y.,
Takenaka, S., Omiya, S., Tsunematsu, K., Tshering, P., and Fujita, K. (2015). The gamdam
glacier inventory: a quality-controlled inventory of asian glaciers. The Cryosphere,
9(3):849–864.