A framework for modelling spatio-temporal informal settlement growth prediction

2021 ◽  
Vol 90 ◽  
pp. 101707
Author(s):  
P. Cilliers ◽  
J.H. van Vuuren ◽  
Q. van Heerden
Keyword(s):  
Informal Settlement ◽  
Growth Prediction ◽  
Spatio Temporal ◽  
Settlement Growth

scholarly journals Impact of Settlement Growth on Yenagoa’s Urban Environment

2021 ◽  
Vol 2 (1) ◽  
pp. 24-29
Author(s):  
E. E. Imaitor-Uku ◽  
O. B. Owei ◽  
L. Hart ◽  
A. Ayotamuno
Keyword(s):  
Land Use ◽  
Urban Environment ◽  
Sustainable Land Use ◽  
Mapping Technique ◽  
Citizen Education ◽  
Management Framework ◽  
Urban Planning And Development ◽  
Spatio Temporal ◽  
The City ◽  
Settlement Growth

This research is a study on the assessment of settlement growth and its impact on the urban environment in Yenagoa Metropolis. Landsat imageries of 1988, 1996, 2004, 2012 and 2020 were acquired from the United Sates Geographical Survey. Supervised image classifications using level 1 classification scheme was adopted to extract LandUse/LandCover. The five Epochs of images were used to extract the built-up areas, water bodies and vegetation areas. The area (ha) of land use for each epoch was determined using clipping images. The spatio-temporal changes were determined as a percentage of LULC per epoch and which was done following standard methods. Mapping technique was used to compare satellite imageries. Findings showed that built up areas was 1,279.81 in 1988, 2,497.87 in 1996, 4,554.73 in 2009, 7,804.30 in 2012 and 10,447.50 in 2020. While the percentage change of built-up are in 1988 was 6.12%, 1996 was 11.94%, 2004 was 21.78%, 2012 was 34.31% and 2020 was 30.09%, respectively. It is therefore recommended here that government should empower urban planning and development agencies, legally and financially to carry out their responsibility to implement existing master plan of the city. Engage in citizen education on how to contribute in managing the environment and sustainable land use management framework in the study area for proper management of the urban environment to enhance sustained settlement growth in the city.  

scholarly journals Towards Spatially Explicit Agent-based Model for Simulation of Informal Transport Infrastructure Indirect Growth Dynamic in Informal Settlements

2014 ◽  
Vol XL-2/W3 ◽  
pp. 273-279
Author(s):  
H. Vahidi ◽  
W. Yan
Keyword(s):  
Informal Settlement ◽  
Informal Settlements ◽  
Transport Infrastructure ◽  
Spatially Explicit ◽  
Construction Process ◽  
Agent Based ◽  
Growth Phenomenon ◽  
Different Types ◽  
Over Time ◽  
Settlement Growth

The informal construction of dwellings (housing) and the informal growth of transport infrastructure are two main dynamics of an informal settlement growth phenomenon that may influence each other over time. Some studies have been done to understand the growth mechanisms of informal settlements, but not enough attention has been paid to study the informal growth of transport infrastructure dynamic. In this study, the morphology and spatial pattern of different types of informal settlements have been reviewed and categorized to clearly define and formulate the mechanisms of informal transport infrastructure formation in the context of informal settlement. To this end, two different dynamics have been suggested in this study for modelling of the growth of informal transport infrastructure. In the first suggested dynamic, the infrastructure is extended directly as the result of consolidation of the physical signs of dwellers’ movement (foot prints) on the environment over time. In the second proposed dynamic that is the main focus of this study, the informal infrastructure growth could be considered as the function of dwelling construction (housing) dynamic in the settlement. In this context, informal transport infrastructure is extended based on an indirect dynamic by consideration of the void spaces by dwellers as the accessibility corridors in the settlement during the construction process of the settlement. Finally, to study the validity of the second proposed dynamic for modelling of the indirect growth of informal transport infrastructure, a simple conceptual model was developed and tested and the results were evaluated and discussed.

scholarly journals Quantifying the spatio-temporal patterns of settlement growth in a metropolitan region of Ghana

GeoJournal ◽  
2016 ◽  
Vol 82 (4) ◽  
pp. 823-840 ◽  
Author(s):  
Ransford A. Acheampong ◽  
Felix S. K. Agyemang ◽  
Mohammed Abdul-Fatawu
Keyword(s):  
Temporal Patterns ◽  
Metropolitan Region ◽  
Spatio Temporal ◽  
Settlement Growth

scholarly journals Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data

2020 ◽  
Vol 39 (4) ◽  
pp. 1114-1126 ◽  
Author(s):  
Ling Zhang ◽  
Le Lu ◽  
Xiaosong Wang ◽  
Robert M. Zhu ◽  
Mohammadhadi Bagheri ◽  
...  
Keyword(s):  
Tumor Growth ◽  
Patient Data ◽  
Growth Prediction ◽  
Spatio Temporal

scholarly journals A FRAMEWORK FOR LOW-COST MULTI-PLATFORM VR AND AR SITE EXPERIENCES

2017 ◽  
Vol XLII-2/W8 ◽  
pp. 263-270 ◽  
Author(s):  
J. O. Wallgrün ◽  
J. Huang ◽  
J. Zhao ◽  
A. Masrur ◽  
D. Oprean ◽  
...  
Keyword(s):  
Linked Data ◽  
Mixed Reality ◽  
Low Cost ◽  
Informal Settlement ◽  
Penn State ◽  
Virtual And Augmented Reality ◽  
Spatio Temporal ◽  
Virtual Experiences ◽  
Content Specification

Low-cost consumer-level immersive solutions have the potential to revolutionize education and research in many fields by providing virtual experiences of sites that are either inaccessible, too dangerous, or too expensive to visit, or by augmenting in-situ experiences using augmented and mixed reality methods. We present our approach for creating low-cost multi-platform virtual and augmented reality site experiences of real world places for education and research purposes, making extensive use of Structure-from-Motion methods as well as 360° photography and videography. We discuss several example projects, for the Mayan City of Cahal Pech, Iceland’s Thrihnukar volcano, the Santa Marta informal settlement in Rio, and for the Penn State Campus, and we propose a framework for creating and maintaining such applications by combining declarative content specification methods with a central linked-data based spatio-temporal information system.

scholarly journals Mapping the Slums of Dhaka from 2006 to 2010

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Oliver Gruebner ◽  
Jonathan Sachs ◽  
Anika Nockert ◽  
Michael Frings ◽  
Md. Mobarak Hossain Khan ◽  
...  
Keyword(s):  
Informal Settlement ◽  
Urban Expansion ◽  
Google Earth ◽  
Local Health ◽  
Visual Interpretation ◽  
Middle Income ◽  
Middle Income Countries ◽  
Social Segregation ◽  
Local Health Policy ◽  
Settlement Growth

Background. Rapid urban growth in low and middle income countries is frequently characterized by informal developments. The resulting social segregation and slums show disparities in health outcomes for the populations of the world’s megacities. To address these challenges, information on the spatial distribution of slums is necessary, yet the data are rarely available. The goal of this study was to use a remote sensing based approach to map urban slums in Dhaka, the second fastest growing megacity in the world. Methods. Slums were mapped through the visual interpretation of Quickbird satellite imagery between the years 2006 and 2010. Ancillary references included the 2005 census and mapping of slums, Google Earth, and geolocated photographs. The 2006 slums were first delineated and filtered in GIS to avoid small, isolated slums. For 2010, changes to the 2006 slums were defined over the latter’s polygons to retain border consistency. Conclusions. The dataset presented here can be considered a stepping stone for further research on slums and urban expansion in Dhaka. The slum distribution dataset is useful to be pooled with other data to reveal trends of informal settlement growth for local health policy advice in Dhaka.

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