HistoricalData.csv and FutureData.csv should be used in conjunction with NSW_grid.shp by matching their ID. NSW_grid.shp is an ESRI polygons with spatial resolution of 10x10 km square, with GDA_1994_Albers projection. HistoricalData.csv contains historical climate and land-use data for each 10x10 km square polygon described in NSW_grid.shp. Each columns represent: ELEV: elevation (m) WTR_DIST: distance to water feature (km) ROAD: length of major highways and arterial roads (km), was assumed constant between 1989 and 2014. EUC89,EUC94,...,EUC14: Eucalyptus forest cover (%) every five years between 1989 and 2014 TEMP89,TEMP94,...,TEMP14; mean annual maximum summer temperature (degree Celsius) every five years between 1989 and 2014 RAIN89,RAIN94,...,RAIN14: mean annual rainfall (mm) every five years between 1989 and 2014 HOUSE89,HOUSE94,...,HOUSE14: housing density every five years between 1989 and 2014 FutureData.csv contains the projected climate and housing data for each 10x10 km square polygon described in NSW_grid.shp. Each columns represent: HOUSE2019,HOUSE2024,...,HOUSE2064: projected housing density every five years between 2019 and 2064 TEMP.A1FI2019,TEMP.A1FI2024,...,TEMP.A1FI2064: projected mean annual maximum summer temperature every five years between 2019 and 2064, based on A1FI emission scenario of climate change TEMP.B22019,TEMP.B22024,...,TEMP.B22064: projected mean annual maximum summer temperature every five years between 2019 and 2064, based on B2 emission scenario of climate change RAIN.A1FI2019,RAIN.A1FI2024,...,RAIN.A1FI2064: projected mean annual rainfall every five years between 2019 and 2064, based on A1FI emission scenario of climate change RAIN.B22019,RAIN.B22024,...,RAIN.B22064: projected mean annual rainfall every five years between 2019 and 2064, based on B2 emission scenario of climate change