Geographical and Temporal Weighted Regression (GTWR). West Sussex: John Wiley & Sons Ltd.įotheringham, A.S., Crespo, R, and Yao, J. (2002) Geographical Weighted Regression: The Analysis of Spatially Varying Relationship. International Journal of Geographical Information Science, Vol.10, No.5, pp.605–627.įotheringham, A.S., Brunsdon, C, and Charlton, M.E. (1996) The geography of parameter space: an investigation of spatial non-stationarity. Yogyakarta: Universitas Ahmad Dahlan.įotheringham, A.S., Charlton, M.E., and Brunsdon, C. Proceedings of 1st Ahmad Dahlan International Conference on Mathematics and Mathematics Education 2017 Oktober 13-14. Under-five mortality rate modeling using geographically and temporal weighted regression (GTWR). (1996) Geographical Weighted Regression: A Method for Exploring Spatial Nonstationarity. Jakarta: BPS-Statistics Indonesia.īrunsdon, C, Fotheringham, A.S., and Charlton, M.E. Surabaya: Statistics-East JavaīPS- Statistics Indonesia. Gross Regional Domestic Product of regency/municipality of East Java by business sector 2011-2015. (2017) Analysis of form the regional development in Kartasura district as a rapidly growing strategic area. 1-16.Īnisah, Soedwiwahjon, and Miladan, N. (2014) The Influence manufacture of the Processing Industry, Trade, Hotels and Restaurants, and Agriculture on the GRDP of Mojokerto Regency. This is indicated by the decrease in values of Root Mean Square Error (RMSE), Mean Absolute Deviation (MAD), and the Mean Absolute Percentage Error (MAPE).Īfandi, A.G., and Soesatyo, Y. GTWR model is more effective to describe the value of GRDP the construction sector of regencies/municipalities in Java Island in 2010-2016. The purpose of this study is to determine the factors that influence each regency/municipality and each year observing the GRDP of the construction sector in Java with the GTWR model. This study used secondary data, namely the data of GRDP the construction sector as a response variable and four explanatory variables, namely the number of population, local revenue, area, and the number of construction establishments. The Geographically and Temporally Weighted Regression (GTWR) model is a development of the Geographically Weighted Regression (GWR) model taking into account the diversity of locations and times.
The development of economic activities in the construction sector can be seen from the GRDP of the construction sector. Economic activity in an area is measured using the Gross Regional Domestic Product (GRDP). The construction sector is one of the sectors that have strategic value in the national economy.