Integrating Bayesian network and generalized raking for population synthesis in Greater Jakarta
Constructing agent data with detailed information on their sociodemographics is substantially important for agent-based modelling. However, to collect data about the whole population is not efficient, since it requires an expensive and time-consuming survey, especially for a large population. The pa...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
|
| Series: | Regional Studies, Regional Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21681376.2019.1687011 |