scholarly journals Collision-Free Agent Migration in Spatial Simulation

2017 ◽  
Author(s):  
Munehiro Fukuda ◽  
Christopher Bowzer ◽  
Benjamin Phan ◽  
Kasey Cohen
Keyword(s):  
Spatial Simulation ◽  
Free Agent ◽  
Agent Migration

scholarly journals Agent-based wildfire evacuation with spatial simulation

2020 ◽  
Author(s):  
Sarah A. Grajdura ◽  
Sachraa G. Borjigin ◽  
Deb A. Niemeier
Keyword(s):  
Spatial Simulation ◽  
Agent Based ◽  
Wildfire Evacuation

scholarly journals Slowing down wolves to protect boreal caribou populations: a spatial simulation model of linear feature restoration

Ecosphere ◽  
2019 ◽  
Vol 10 (10) ◽  
Author(s):  
Matthias C. Spangenberg ◽  
Robert Serrouya ◽  
Melanie Dickie ◽  
Craig A. DeMars ◽  
Théo Michelot ◽  
...  
Keyword(s):  
Simulation Model ◽  
Spatial Simulation ◽  
Linear Feature ◽  
Slowing Down ◽  
Spatial Simulation Model ◽  
Boreal Caribou

Collusion in Major League Baseball's Free Agent Market: The Barry Bonds Case

2009 ◽  
Vol 54 (4) ◽  
pp. 883-905 ◽  
Author(s):  
Roger D. Blair ◽  
Jessica S. Haynes
Keyword(s):  
Free Agent ◽  
Major League

Spatial Simulation of Precipitation Resources in Chongqing

2012 ◽  
Vol 518-523 ◽  
pp. 4261-4265
Author(s):  
Xiao Song Lin ◽  
Sha Sha Yu ◽  
Hai Yan Wang
Keyword(s):  
Spatial Distribution ◽  
Spatial Interpolation ◽  
Regional Difference ◽  
Interpolation Method ◽  
Annual Precipitation ◽  
Regression Equations ◽  
Spatial Simulation ◽  
Simulation Data ◽  
Spatial Interpolation Method ◽  
Precise Simulation

Years’ precipitation data of Chongqing from 101 metrological stations has been adopted in the paper and the regression equations between annual precipitation and altitude, longitude, and height have been obtained by the use of SPSS, then elaborate simulation of Chongqing’s precipitation resources based on regression analysis was completed through the 1km×1km grid system and fitted equation. Elaborated simulation of precipitation resources was realized by best spatial interpolation method with the support of GIS; then the results of two different simulation methods were coupled in the form of linear combination to obtain the coupling simulation of spatial distribution of Chongqing’s precipitation resources, finally the precipitation resources were summed up and distributed according to different administration areas at county level and thus obtain precise simulation data of precipitation resources in each county of Chongqing. The results showed that there is a remarkable regional difference in the spatial distribution of precipitation resources of Chongqing, and it decreases from the southeast to the northwest in general, with the annual precipitation higher than 1270mm in southeast and lower than 1080mm in northwest.

scholarly journals Incoherent dimensionality in fisheries management: consequences of misaligned stock assessment and population boundaries

2020 ◽  
Author(s):  
Aaron M Berger ◽  
Jonathan J Deroba ◽  
Katelyn M Bosley ◽  
Daniel R Goethel ◽  
Brian J Langseth ◽  
...  
Keyword(s):  
Population Structure ◽  
Stock Assessment ◽  
Spatially Explicit ◽  
Spatial Simulation ◽  
Management Options ◽  
Spatially Explicit Models ◽  
Fisheries Policy ◽  
Simulation Estimation ◽  
Definition Of ◽  
Dynamic Population

Abstract Fisheries policy inherently relies on an explicit definition of management boundaries that delineate the spatial extent over which stocks are assessed and regulations are implemented. However, management boundaries tend to be static and determined by politically negotiated or historically identified population (or multi-species) units, which create a potential disconnect with underlying, dynamic population structure. The consequences of incoherent management and population or stock boundaries were explored through the application of a two-area spatial simulation–estimation framework. Results highlight the importance of aligning management assessment areas with underlying population structure and processes, especially when fishing mortality is disproportionate to vulnerable biomass among management areas, demographic parameters (growth and maturity) are not homogenous within management areas, and connectivity (via recruitment or movement) unknowingly exists among management areas. Bias and risk were greater for assessments that incorrectly span multiple population segments (PSs) compared to assessments that cover a subset of a PS, and these results were exacerbated when there was connectivity between PSs. Directed studies and due consideration of critical PSs, spatially explicit models, and dynamic management options that help align management and population boundaries would likely reduce estimation biases and management risk, as would closely coordinated management that functions across population boundaries.

Spatial simulation for translating from land use to land cover

2004 ◽  
Vol 18 (1) ◽  
pp. 35-60 ◽  
Author(s):  
Daniel G. Brown ◽  
Jiunn-Der Duh
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Simulation

The First Free Agent

1993 ◽  
pp. 27-29
Author(s):  
Cheryl Russell
Keyword(s):  
Free Agent

scholarly journals Effects of Land Use Planning in PERPRES 54/2008 on River Discharges

2018 ◽  
Author(s):  
Miga Magenika Julian ◽  
Fumihiko Nishio ◽  
Poerbandono ◽  
Philip J. Ward
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
River Discharge ◽  
Balance Model ◽  
Climate Data ◽  
Spatial Simulation ◽  
Flood Prevention ◽  
Simulation Scenario ◽  
Discharge Simulation ◽  
Effects Of Land Use

In 2008, a presidential regulation number 54 (Peraturan Presiden Nomor 54 Tahun 2008 - Perpres 54/2008) that regulates uses of land for various degrees of utilization and conservation across Jakarta, Bogor, Depok, Tangerang, Bekasi, Puncak and Cianjur (Jabodetabekpuncur) was issued. Perpres 54/2008 is a reference for the implementation of development related to water and soil conservation, the availability of ground water and surface water, flood prevention, and economic development for the welfare of the community. This study was intended to investigate the effects of land use planning in Perpres 54/2008 on river discharges based on spatial simulation of the Ciliwung and Cisadane watersheds. Three evaluation points for each watershed were investigated: downstream, middle and upper watersheds. Here, we simulated the river discharge at 100m×100m resolution with land use data in year 2007. A calibrated spatial water balance model named Spatial Tools for River Basins and Environment and Analysis of Management Option (STREAM) was used for river discharge simulation. The inputs of this model were climate data (precipitation and temperature), land use and topography. Two scenarios of land use were used, the actual land use condition (i.e. year 2007) and planned land use according to Perpres 54/2008. Based on Perpres 54/2008 simulation scenario, if land use planned in Perpres 54/2008 have successfully implemented, it can reduces river discharge by 0.1% to 5.6%.

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