Datasets

The data used in this course is provided on the supplied USB flash drive. Ask your trainer for asssistance if you have problems locating the data.

Hazard data

Tsunami model

File name:	Fdepth8.7c_1.asc
Training data:	Tsunami inundation from a Mw 8.7 earthquake
Geometry:	Raster
Data type:	Continuous
Units:	Metres
Source:	Geoscience Division, SPC
Date:	2013
URL:	http://gsd.spc.int
Licence:	Creative Commons by Attribution (CCbyA)
Coverage:	Tongatapu
Description:	The tsunami inundation model was created by scientists in coordination with NEMO, based on a scenario of an Mw8.7 earthquake. The depth is the maximum depth occuring across the inundation period.

File name:	Fdepth9.0c_1.asc
Training data:	Tsunami inundation from a Mw 9.0 earthquake
Geometry:	Raster
Data type:	Continuous
Units:	Metres
Source:	Geoscience Division, SPC
Date:	2013
URL:	http://gsd.spc.int
Licence:	Creative Commons by Attribution (CCbyA)
Coverage:	Tongatapu
Description:	The tsunami inundation model was created by scientists in coordination with NEMO, based on a scenario of an Mw9.0 earthquake. The depth is the maximum depth occuring across the inundation period.

Cyclone model

File name:	tc_ian.tif
Training data:	TC Ian
Geometry:	Raster
Data type:	Continuous
Units:	Metres per second (m/s)
Source:	Geoscience Australia
Date:	2017
URL:	http://www.ga.gov.au
Licence:	Creative Commons by Attribution (CCbyA)
Coverage:	Tonga
Description:	The cyclone model was created using the Tropical Cyclone Risk Model (TCRM - http://github.com/GeoscienceAustralia/tcrm), based on the best track of TC Ian (2014). The wind speed represents the maximum gust wind over the period of the cyclone.

File name:	scenario-01.tif
Training data:	A category 5 cyclone
Geometry:	Raster
Data type:	Continuous
Units:	Metres per second (m/s)
Source:	Geoscience Australia
Date:	2017
URL:	http://www.ga.gov.au
Licence:	Creative Commons by Attribution (CCbyA)
Coverage:	Tonga
Description:	The cyclone model was created using the Tropical Cyclone Risk Model (TCRM - http://github.com/GeoscienceAustralia/tcrm), based on a random collection of synthetic cyclones generated for the Tonga region. The wind speed represents the maximum gust wind over the period of the cyclone.

Exposure data

Buildings

File name:	to_buildings.shp
Training data:	Buildings
Geometry:	Point
Data type:	Classified
Source:	PCRAFI
URL:	http://pcrafi.spc.int
Date:	2010
Coverage:	Tonga

Population

File name:	World_Population
Training data:	Tonga population
Geometry:	Raster
Data type:	Continuous
Unit:	Count
Source:	World Pop
URL:	http://worldpop.org.uk
Date:	2010
Licence:	Creative Commons by Attribution (CCbyA)
Coverage:	Tonga
Description:	High resolution (1 pixel represents 100m x 100m, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions. The AsiaPop project was initiated in July 2011 with the aim of producing detailed and freely-available population distribution maps for the whole of Asia. This project has expanded as the World Pop project to include other continents.

Aggregation data

Administrative boundaries

Name:	Administrative Boundary
Training data:	Villages
Geometry:	Polygon
Data type:	Classified
Attribute field:	Village
Attribute value map:	toponymy of the area
Source:	PCRAFI
URL:
Date:	2010
Licence:
Coverage:
Description:	Administrative boundaries in Tonga