English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The purpose of this research is to find the best-fit scenario to support spatial planning, which can optimize the ecological function of urban areas. This study was conducted in Lhokseumawe city, a city which is the center of national activities. The city is also known as an industrial city and special economic zone. Prediction of future growth for this city needs to be done to anticipate the environmental damage that will occur. This prediction uses 2018 land use/cover (LUC) map, to get a prediction of the LUC pattern until 2032. The first stage is to create a raster map for the four variables reviewed in this research, namely a) distance to activity center (DAC), b) distance to road (DRD), c) distance to river (DRV), and d) reserve area (RAR) which are made in the form of a raster layer. The next stage is a scenario model simulation. There are two prediction scenarios assessed in this research to choose the best-fit scenario for 2032, business as usual (BAU) and reserve area interest (RAI). The results showed that the scenario should be chosen is the (RAI) scenario.

Model prediction and scenario of urban land use and land cover changes for sustainable spatial planning in Lhokseumawe, Aceh, Indonesia