scholarly journals Spatio-temporal Prediction of Urban Expansion Using Bivariate Statistical Models: Assessment of the Efficacy of Evidential Belief Functions and Frequency Ratio Models

2015 ◽  
Vol 9 (2) ◽  
pp. 213-231 ◽  
Author(s):  
Abubakr A. A. Al-sharif ◽  
Biswajeet Pradhan
2015 ◽  
Vol 52 (3) ◽  
pp. 182-195 ◽  
Author(s):  
Mohammad Arab Amiri ◽  
Mohammad Karimi ◽  
Abbas Alimohammadi Sarab

The purpose of the present study is to model the hydrocarbon resources potential mapping using geographic information systems (GIS). The presented method is based on petroleum system concepts; therefore, petroleum system elements were used to define criteria for petroleum potential mapping. Several statistical methods can be used to effectively predict potential areas for hydrocarbon resources. In this study, two statistical methods were used (frequency ratio and evidential belief functions) to predict the potential distribution of petroleum resources in the study area. A case study in the Red River – Red River petroleum system of the Canadian Williston Basin in southeastern Saskatchewan in Canada is proposed to assess the feasibility of this new modelling technique. The accuracy of the hydrocarbon potential maps was evaluated by success rate and prediction rate efficiency curves. The resultant petroleum potential maps resulted in delineation of high-potential zones occupying about 15% of the study area. The validation results showed that the prediction rate for the best model is 88.14%. This study was carried out at a regional scale; therefore, the results can be used to guide exploration works at early stages.


2010 ◽  
Vol 11 (4) ◽  
pp. 428-435 ◽  
Author(s):  
Wenhui KUANG ◽  
Quanqin SHAO ◽  
Jiyuan LIU ◽  
Chaoyang SUN

Water Policy ◽  
2016 ◽  
Vol 19 (1) ◽  
pp. 181-195 ◽  
Author(s):  
Huiqing Han ◽  
Yuxiang Dong

Water supply is an important freshwater ecosystem service provided by ecosystems. Water shortages resulting from spatio-temporal heterogeneity of climate condition or human activities present serious problems in the Guizhou Province of southwest China. This study aimed to analyze the spatio-temporal changes of water supply service using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, explore how climate and land-use changes impact water supply provision, and discuss the impact of parameters associated with climate and land-use in the InVEST model on water supply in the region. We used data and the model to forecast trends for the year 2030 and found that water supply has been declining in the region at the watershed scale since 1990. Climate and land-use change played important roles in affecting the water supply. Water supply was overwhelmingly driven by the reference evapotranspiration and annual average precipitation, while the plant evapotranspiration coefficients for each land-use type had a relatively small effect. The method for sensitivity analysis developed in this study allowed exploration of the relative importance of parameters in the InVEST water yield model. The Grain-for-Green project, afforestation, and urban expansion control should be accelerated in this region to protect the water supply.


2021 ◽  
Author(s):  
A. Kakarla ◽  
V. S. K. R. Munagala ◽  
T. Ishizaka ◽  
A. Fukuda ◽  
S. Jana

2018 ◽  
Vol 10 (8) ◽  
pp. 2765 ◽  
Author(s):  
Mariateresa Ciommi ◽  
Francesco Chelli ◽  
Margherita Carlucci ◽  
Luca Salvati

Metropolitan growth in Europe has resulted in drastic changes of urban forms, socio-spatial structures and land-use patterns due to sequential processes of urbanization, suburbanization and re-urbanization. To assess latent shifts from mono-centric models towards more disarticulated and decentralized settlement configurations, the present study evaluates spatio-temporal patterns of growth between the 1920s and the 2010s in three Mediterranean cities with different structure and functions (Barcelona: compact and moderately polycentric; Rome: dispersed, medium-density; Athens: mono-centric, hyper-compact). To identify and characterize long-term urban transformations, an original approach was illustrated in this study, based on a multivariate analysis of 13 indicators resulting from descriptive statistics and linear regression modeling the relationship between population density and distance from inner cities. The empirical results of this study indicate that Barcelona, Rome and Athens have experienced different urbanization cycles, characterized by a (more or less) concentrated distribution of population along urban gradients. Despite similarities in demographic dynamics and planning practices, these processes have determined (i) a mostly centralized growth in Barcelona, (ii) a relatively dispersed and discontinuous spatial structure in Rome, and (iii) a steep decline of population density with the distance from downtown Athens. Compact urban expansion, population decline and urban de-concentration were finally assessed using the analytical approach proposed in this study.


2019 ◽  
pp. 253-302
Author(s):  
Christopher K. Wikle ◽  
Andrew Zammit-Mangion ◽  
Noel Cressie

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