TY - JOUR
T1 - Temporal GIS models for cadastral data management
T2 - the knowns, unknowns and future
AU - Mango, J.
AU - Ngondo, J.
AU - Xu, D.
AU - Zhang, D.
AU - Li, X.
N1 - Publisher Copyright:
© 2022 Survey Review Ltd.
PY - 2023
Y1 - 2023
N2 - Numerous temporal GIS models for cadastral data management have been proposed, and to understand the state of their art, a study that critically assesses their designs is needed. This study reviewed 11 models and noted that except with earlier designs; most of the reviewed models could store temporal land parcels with their tracks of changes. However, they lack to maintain the semantics of their data, valid times and potential records of changes, and the alternative techniques to accelerate queries. Thus, a semantical and bi-temporal modelling framework is proposed. Future studies could use the framework and focus on implementation designs to obtain more robust models.
AB - Numerous temporal GIS models for cadastral data management have been proposed, and to understand the state of their art, a study that critically assesses their designs is needed. This study reviewed 11 models and noted that except with earlier designs; most of the reviewed models could store temporal land parcels with their tracks of changes. However, they lack to maintain the semantics of their data, valid times and potential records of changes, and the alternative techniques to accelerate queries. Thus, a semantical and bi-temporal modelling framework is proposed. Future studies could use the framework and focus on implementation designs to obtain more robust models.
KW - Cadastral data management
KW - Conceptual and logical temporal cadastral framework
KW - Semantical and bi-temporal modelling
KW - Temporal GIS models
KW - Temporal cadastral data
UR - https://www.scopus.com/pages/publications/85126436481
U2 - 10.1080/00396265.2022.2049104
DO - 10.1080/00396265.2022.2049104
M3 - 文章
AN - SCOPUS:85126436481
SN - 0039-6265
VL - 55
SP - 233
EP - 246
JO - Survey Review
JF - Survey Review
IS - 390
ER -