Predicting potential development for land areas in Perak, Malaysia using spatial data technique

Predicted size and spatial distribution of future population are crucial drivers of development growth and critical determinants for the development type per se. Population data is a prime example of spatial demographic inputs that can be used to predict land areas development and also assists in effective rural or urban planning. Data can be collected by various individuals or different teams with a variety of technologies and assumptions over a period span. As a result, they may contain a great many redundancies, duplicates, and inconsistencies. By using Geographic Information System (GIS), data can be more organized and processed to produce a more desirable result. The spatial data technique will be applied in the system by plotting the geocoordinates on the map of Perak state according to the districts being analyzed. Every district contains information of the predicted potential development with the population data for the year 2020. The prediction will be based on an exponential model where population data is processed. This information is displayed in an informative way via visualization of data using the Data Driven Document (D3) tool. It gives users a dynamic display function to select the area that will show the relevant information. Therefore, it is expected that the development of rural areas can be planned more efficiently in the future.