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

Vector-based cellular automata (CA) based on real land-parcel has become animportant trend in current urban development simulation studies. Compared withraster-based and parcel-based CA models, vector CA models are difficult to bewidely used because of their complex data structures and technicaldifficulties. The UrbanVCA, a brand-new vector CA-based urban developmentsimulation framework was proposed in this study, which supports multiplemachine-learning models. To measure the simulation accuracy better, this studyalso first proposes a vector-based landscape index (VecLI) model based on thereal land-parcels. Using Shunde, Guangdong as the study area, the UrbanVCAsimulates multiple types of urban land-use changes at the land-parcel levelhave achieved a high accuracy (FoM=0.243) and the landscape index similarityreaches 87.3%. The simulation results in 2030 show that the eco-protectionscenario can promote urban agglomeration and reduce ecological aggression andloss of arable land by at least 60%. Besides, we have developed and releasedUrbanVCA software for urban planners and researchers.

UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level