scholarly journals Calibration of Dynamic Spatial Model Using Genetic Algorithms

2008 ◽  
Vol 56 (null) ◽  
pp. 103-121
Author(s):  
김복환 ◽  
Kwang-Sik Yang
Keyword(s):  
Genetic Algorithms ◽  
Spatial Model ◽  
Dynamic Spatial Model

scholarly journals A dynamic spatial model of conflict escalation

2015 ◽  
Vol 27 (3) ◽  
pp. 530-553 ◽  
Author(s):  
P. BAUDAINS ◽  
H.M. FRY ◽  
T.P. DAVIES ◽  
A.G. WILSON ◽  
S.R. BISHOP
Keyword(s):  
Spatial Distribution ◽  
Spatial Model ◽  
Spatial Interaction ◽  
Critical Role ◽  
General Notion ◽  
Interaction Method ◽  
Conflict Escalation ◽  
The Impact ◽  
Dynamic Spatial Model ◽  
Numerical Treatments

In both historical and modern conflicts, space plays a critical role in how interactions occur over time. Despite its importance, the spatial distribution of adversaries has often been neglected in mathematical models of conflict. In this paper, we propose an entropy-maximising spatial interaction method for disaggregating the impact of space, employing a general notion of ‘threat’ between two adversaries. This approach addresses a number of limitations that are associated with partial differential equation approaches to spatial disaggregation. We use this method to spatially disaggregate the Richardson model of conflict escalation, and then explore the resulting model with both analytical and numerical treatments. A bifurcation is identified that dramatically influences the resulting spatial distribution of conflict and is shown to persist under a range of model specifications. Implications of this finding for real-world conflicts are discussed.

A dynamic spatial model of shifting cultivation in the highlands of Guinea, West Africa

1995 ◽  
Vol 79 (1-3) ◽  
pp. 179-197 ◽  
Author(s):  
Peter T. Gilruth ◽  
Stuart E. Marsh ◽  
Robert Itami
Keyword(s):  
West Africa ◽  
Spatial Model ◽  
Shifting Cultivation ◽  
Dynamic Spatial Model

scholarly journals Exploring zoning scenario impacts upon urban growth simulations using a dynamic spatial model

Cities ◽  
2018 ◽  
Vol 81 ◽  
pp. 214-229 ◽  
Author(s):  
Haiwei Yin ◽  
Fanhua Kong ◽  
Xiaojun Yang ◽  
Philip James ◽  
Iryna Dronova
Keyword(s):  
Urban Growth ◽  
Spatial Model ◽  
Dynamic Spatial Model

scholarly journals Dynamic Spatial Model of Non-Domestic Waste Transport in Strategic Areas

2021 ◽  
Vol 249 ◽  
pp. 02007
Author(s):  
Minnaty Syahiya ◽  
Erri Noviar Megantara ◽  
dan Teguh Husodo
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Spatial Model ◽  
Central Government ◽  
Solid Waste Management ◽  
Environmental Benefits ◽  
Pollutant Emissions ◽  
Literature Study ◽  
Strong Basis ◽  
Dynamic Spatial Model

The development of strategic areas that are taking place in several cities and districts in Indonesia is one of the solutions to the problem-solving approach instructed by the central government to develop the economy. However, along with the development of physical development and infrastructure in this strategic area, environmental problems began to emerge, especially solid waste. Increased community activity is one of the triggers for this increasing environmental problem. This research is a literature study that will answer the problem, what digital tools (applications / software) in a dynamic spatial model can support the final performance and what outputs can be obtained in its use. The method used is a qualitative method, research data is obtained from secondary data, several journals or articles that reveal about solid waste management. Data analysis was performed using descriptive analytical techniques. The mapping software application will simulate the determination of the location of waste collectors, visual representation of transportation routes, and optimization of transportation issues in order to provide economic and environmental benefits by reducing travel time, distance, fuel consumption, and pollutant emissions. The dynamic spatial model shows that the ArcGIS simulation results can be used as a strong basis for measuring the overall optimal route in solid waste management and dealing with dynamic changes in the future. Incorporating planning details on paper with real-world boundaries allows for realistic comparisons, for the application of sustainable environmental planning.

Policy Motivation and Party Differences in a Dynamic Spatial Model of Party Competition

1986 ◽  
Vol 80 (3) ◽  
pp. 881-899 ◽  
Author(s):  
Henry W. Chappell ◽  
William R. Keech
Keyword(s):  
Spatial Model ◽  
Majority Rule ◽  
Perfect Information ◽  
Party Competition ◽  
Simulation Experiments ◽  
Party Positions ◽  
Party Differences ◽  
Dynamic Spatial Model ◽  
Policy Motivation ◽  
Predictable Issue

We present a model of party competition that produces more realistic patterns of results than those often emphasized in the literature. Reversing Downs (1957), we assume that parties win elections in order to formulate policies, rather than formulate policies in order to win elections. Voters are modeled first as having perfect information about candidate positions, and then under conditions of uncertainty. In simulation experiments we show that policy motivation and voter uncertainty can bring about persistent and predictable party differences in sequential majority rule elections. As the degree of voter certainty decreases, parties diverge towards their optima, whereas increases in voter certainty draw parties towards cycles in which party positions vary, but predictable issue stances are maintained on the average.

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