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Journal articles on the topic 'Dynamic spatial model'

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1

Ault, Jerald S., Jiangang Luo, Steven G. Smith, et al. "A spatial dynamic multistock production model." Canadian Journal of Fisheries and Aquatic Sciences 56, S1 (1999): 4–25. http://dx.doi.org/10.1139/f99-216.

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We developed a generalized spatial dynamic age-structured multistock production model by linking bioenergetic principles of physiology, population ecology, and community trophodynamics to a two-dimensional finite-element hydrodynamic circulation model. Animal movement is based on a search of an environmental-habitat feature vector that maximizes cohort production dynamics. We implemented a numerical version of the model and used scientific data visualization to display real-time results. As a proxy for larger regional-scale dynamics, we applied the model to study the space-time behavior of rec
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2

Sun, Yan, Hongjia Yan, Wenyang Zhang, and Zudi Lu. "A semiparametric spatial dynamic model." Annals of Statistics 42, no. 2 (2014): 700–727. http://dx.doi.org/10.1214/13-aos1201.

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3

Liu, Zhuo, David K. H. Chua, and Hwee Wee Keng. "A Simulation Model for Spatial Scheduling of Dynamic Block Assembly in Shipbuilding." Journal of Engineering, Project, and Production Management 1, no. 1 (2011): 3–12. http://dx.doi.org/10.32738/jeppm.201107.0002.

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4

BAUDAINS, P., H. M. FRY, T. P. DAVIES, A. G. WILSON, and S. R. BISHOP. "A dynamic spatial model of conflict escalation." European Journal of Applied Mathematics 27, no. 3 (2015): 530–53. http://dx.doi.org/10.1017/s0956792515000558.

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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
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5

Berman, Edward B. "A SPATIAL AND DYNAMIC GROWTH MODEL." Papers in Regional Science 5, no. 1 (2005): 143–50. http://dx.doi.org/10.1111/j.1435-5597.1959.tb01673.x.

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6

Yu, Jihai, and Lung-fei Lee. "ESTIMATION OF UNIT ROOT SPATIAL DYNAMIC PANEL DATA MODELS." Econometric Theory 26, no. 5 (2010): 1332–62. http://dx.doi.org/10.1017/s0266466609990600.

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This paper examines the asymptotics of the QMLE for unit root dynamic panel data models with spatial effect and fixed effects. We consider a unit root dynamic panel data model with spatially correlated disturbances and a unit root spatial dynamic panel data model. For both models the estimate of the dynamic coefficient is $\root \of {nT^3 }$ consistent and the estimates of other parameters are $\root \of {nT}$ consistent, and all of them are asymptotically normal. For the latter model the sum of the contemporaneous spatial effect and dynamic spatial effect converges at $\root \of {nT^3 }$ rate
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7

Nijkamp, P., and A. Reggiani. "Dynamic Spatial Interaction Models: New Directions." Environment and Planning A: Economy and Space 20, no. 11 (1988): 1449–60. http://dx.doi.org/10.1068/a201449.

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Spatial interaction models have received a great deal of attention in the past decade. In recent years, various approaches have also been developed to take into account dynamic aspects of spatial interaction models, by means of, for instance, optimal control theory, bifurcation theory, or catastrophe theory. The present paper deals with new directions in dynamic spatial interaction research. The focus is on a general dynamic interaction model analyzed in the framework of optimal control theory. The objective function used is a bicriterion utility model, to be maximized subject to a set of diff
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8

May, Felix, Andreas Huth, and Thorsten Wiegand. "Moving beyond abundance distributions: neutral theory and spatial patterns in a tropical forest." Proceedings of the Royal Society B: Biological Sciences 282, no. 1802 (2015): 20141657. http://dx.doi.org/10.1098/rspb.2014.1657.

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Assessing the relative importance of different processes that determine the spatial distribution of species and the dynamics in highly diverse plant communities remains a challenging question in ecology. Previous modelling approaches often focused on single aggregated forest diversity patterns that convey limited information on the underlying dynamic processes. Here, we use recent advances in inference for stochastic simulation models to evaluate the ability of a spatially explicit and spatially continuous neutral model to quantitatively predict six spatial and non-spatial patterns observed at
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9

Allevi, Elisabetta, Adriana Gnudi, and Igor V. Konnov. "Dynamic Equilibrium Model for Spatial Auction Markets*." IFAC Proceedings Volumes 42, no. 2 (2009): 238–41. http://dx.doi.org/10.3182/20090506-3-sf-4003.00044.

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10

Wang, Xiaokun (Cara), and Kara M. Kockelman. "Application of Dynamic Spatial Ordered Probit Model." Transportation Research Record: Journal of the Transportation Research Board 2136, no. 1 (2009): 45–56. http://dx.doi.org/10.3141/2136-06.

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11

Alias, Anuar, and Wan Ahmad Tajuddin Wan Abdullah. "The effects of spatial dynamics on a wormhole throat." Modern Physics Letters A 33, no. 06 (2018): 1850036. http://dx.doi.org/10.1142/s0217732318500360.

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Previous studies on dynamic wormholes were focused on the dynamics of the wormhole itself, be it either rotating or evolutionary in character and also in various frameworks from classical to braneworld cosmological models. In this work, we modeled a dynamic factor that represents the spatial dynamics in terms of spacetime expansion and contraction surrounding the wormhole itself. Using an RS2-based braneworld cosmological model, we modified the spacetime metric of Wong and subsequently employed the method of Bronnikov, where it is observed that a traversable wormhole is easier to exist in an e
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12

Juhl, Sebastian. "Measurement Uncertainty in Spatial Models: A Bayesian Dynamic Measurement Model." Political Analysis 27, no. 3 (2018): 302–19. http://dx.doi.org/10.1017/pan.2018.35.

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According to spatial models of political competition, parties strategically adjust their ideological positions to movements made by rival parties. Spatial econometric techniques have been proposed to empirically model such interdependencies and to closely convert theoretical expectations into statistical models. Yet, these models often ignore that the parties’ ideological positions are latent variables and, as such, accompanied by a quantifiable amount of uncertainty. As a result, the implausible assumption of perfectly measured covariates impedes a proper evaluation of theoretical proposition
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13

Ballas, Dimitris, Graham Philip Clarke, and Emily Wiemers. "Building a dynamic spatial microsimulation model for Ireland." Population, Space and Place 11, no. 3 (2005): 157–72. http://dx.doi.org/10.1002/psp.359.

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14

Kuang, Yan, David Ben-Arieh, Chih-Hang Wu, and Songnian Zhao. "Using spatial games to model dynamic evolutionary systems." Mathematical and Computer Modelling of Dynamical Systems 24, no. 3 (2018): 296–313. http://dx.doi.org/10.1080/13873954.2018.1437548.

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15

김복환 and Kwang-Sik Yang. "Calibration of Dynamic Spatial Model Using Genetic Algorithms." Korea Spatial Planning Review 56, no. ll (2008): 103–21. http://dx.doi.org/10.15793/kspr.2008.56..006.

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16

CAO, XIAN-BIN, WEN-BO DU, MAO-BIN HU, ZHI-HAI RONG, PENG SUN, and CAI-LONG CHEN. "TOPOLOGY PROPERTY AND DYNAMIC BEHAVIOR OF A GROWING SPATIAL NETWORK." International Journal of Modern Physics C 22, no. 04 (2011): 333–45. http://dx.doi.org/10.1142/s0129183111016282.

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In this paper, we propose a growing spatial network (GSN) model and investigate its topology properties and dynamical behaviors. The model is generated by adding one node i with m links into a square lattice at each time step and the new node i is connected to the existing nodes with probabilities proportional to: [Formula: see text], where kj is the degree of node j, α is the tunable parameter and dij is the Euclidean distance between i and j. It is found that both the degree heterogeneity and the clustering coefficient monotonously increase with the increment of α, while the average shortest
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17

Jin, Baisuo, Yuehua Wu, Calyampudi Radhakrishna Rao, and Li Hou. "Estimation and model selection in general spatial dynamic panel data models." Proceedings of the National Academy of Sciences 117, no. 10 (2020): 5235–41. http://dx.doi.org/10.1073/pnas.1917411117.

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Commonly used methods for estimating parameters of a spatial dynamic panel data model include the two-stage least squares, quasi-maximum likelihood, and generalized moments. In this paper, we present an approach that uses the eigenvalues and eigenvectors of a spatial weight matrix to directly construct consistent least-squares estimators of parameters of a general spatial dynamic panel data model. The proposed methodology is conceptually simple and efficient and can be easily implemented. We show that the proposed parameter estimators are consistent and asymptotically normally distributed unde
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18

Chakrawal, Arjun, Anke M. Herrmann, John Koestel, et al. "Dynamic upscaling of decomposition kinetics for carbon cycling models." Geoscientific Model Development 13, no. 3 (2020): 1399–429. http://dx.doi.org/10.5194/gmd-13-1399-2020.

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Abstract. The distribution of organic substrates and microorganisms in soils is spatially heterogeneous at the microscale. Most soil carbon cycling models do not account for this microscale heterogeneity, which may affect predictions of carbon (C) fluxes and stocks. In this study, we hypothesize that the mean respiration rate R‾ at the soil core scale (i) is affected by the microscale spatial heterogeneity of substrate and microorganisms and (ii) depends upon the degree of this heterogeneity. To theoretically assess the effect of spatial heterogeneities on R‾, we contrast heterogeneous conditi
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19

Shen, J. "Spatial-Dynamic Population Systems: Analysis and Projection." Environment and Planning A: Economy and Space 26, no. 3 (1994): 471–88. http://dx.doi.org/10.1068/a260471.

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In this paper a set of more-detailed multiregional population accounts is proposed to specify more realistically the exposure time of populations at risk for various components of population change. The concepts of population-time at risk and forward demographic rates based on the initial population are discussed. The relations of the forward demographic rates defined in this paper with the occurrence-exposure demographic rates are discussed. A more precise and straightforward multiregional population model is developed on the basis of forward demographic rates. The model is also expressed in
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20

He, Yufeng, Barbara Hofer, Yehua Sheng, and Yi Huang. "Dynamic Representations of Spatial Events – The Example of a Typhoon." AGILE: GIScience Series 2 (June 4, 2021): 1–7. http://dx.doi.org/10.5194/agile-giss-2-30-2021.

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Abstract. The Geographic scene is a conceptual model that provides a holistic representation of the environment. This model has been developed in order to overcome limitations of geographic information systems (GIS) concerning interactions between features and the representation of dynamics. This contribution translates the theoretical model into an implementation of a dynamic data model in the graph database Neo4j and applies it to GIS data representing the dynamic information of a typhoon. The specific focus of the contribution is on choices made in the process of generation of the implement
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21

Brorsen, B. Wade, Jean-Paul Chavas, and Warren R. Grant. "Market Structure and Spatial Price Dynamics." Journal of Agricultural and Applied Economics 23, no. 2 (1991): 65–74. http://dx.doi.org/10.1017/s0081305200018185.

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AbstractA method was developed with time series models to test hypotheses about the relationship between market structure and spatial price dynamics. Long-run dynamic multipliers measuring the magnitude of lagged adjustment for spatial milled rice prices were calculated from the time series model and used as the dependent variable in a regression model that included a number of factors expected to influence price determination. Results show that price adjustments were slower as regional submarket concentration increased and were faster in the regions with a higher market share. Arkansas, the s
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22

Blotter, Jonathan D., and Robert L. West. "Experimental and Analytical Power Flow in Beams Using a Scanning Laser Doppler Vibrometer." Shock and Vibration 3, no. 5 (1996): 325–36. http://dx.doi.org/10.1155/1996/949156.

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An experimental spatial power-flow (ESPF) method is presented. This method provides a spatially continuous model of the power-flow vector field derived from experimental measurements. The power-flow vector field clearly indicates locations of energy sources and sinks as well as paths of energy transmission. In the ESPF approach, a scanning laser Doppler vibrometer acquires spatially dense measurements of the vibrating test structure. These measurements are used in solving for a spatially continuous 3-dimensional complex-valued model of the steady-state dynamic response. From this experimentall
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23

He, Chunyan, Zaigang Chen, Wanming Zhai, Jianzheng Jiang, and Kaiyun Wang. "A spatial dynamics model for heavy-haul electric locomotives considering the dynamic coupling effect of gear transmissions." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 233, no. 9 (2019): 961–73. http://dx.doi.org/10.1177/0954409718823138.

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A locomotive is usually powered by the electromagnetic torque which is transmitted from the traction motor to the wheelset by gear transmission. In order to investigate the dynamic coupling effects from the gear transmission subsystems on the entire locomotive dynamics system, a comprehensive spatial locomotive dynamics model that considers the dynamic coupling effect of the gear transmissions is developed based on the multibody dynamics theory. In this model, the moved Marker technique is employed to calculate the dynamic mesh force of the gear pairs through which more accurate time-varying g
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24

Chwastek, Stefan. "SPATIAL MODEL OF THE UNSPRUNG WHEELED MACHINE’S DYNAMIC SYSTEM." Journal of KONES. Powertrain and Transport 21, no. 2 (2014): 45–52. http://dx.doi.org/10.5604/12314005.1133864.

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25

Weidlich, Wolfgang, and Gunter Haag. "A DYNAMIC PHASE TRANSITION MODEL FOR SPATIAL AGGLOMERATION PROCESSES*." Journal of Regional Science 27, no. 4 (1987): 529–69. http://dx.doi.org/10.1111/j.1467-9787.1987.tb01181.x.

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26

Lu, Hua-pu, Zhi-yuan Sun, and Wen-cong Qu. "Three-stage approach for dynamic traffic temporal-spatial model." Journal of Central South University 23, no. 10 (2016): 2728–34. http://dx.doi.org/10.1007/s11771-016-3334-3.

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27

Lombardo, S. T., and G. A. Rabino. "Calibration Procedures and Problems of Stability in Nonlinear Dynamic Spatial Interaction Modeling." Environment and Planning A: Economy and Space 18, no. 3 (1986): 341–50. http://dx.doi.org/10.1068/a180341.

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The use of nonlinear dynamic spatial interaction models is one of the main approaches for the treatment of those phenomena of discontinuity and irreversibility which characterise the complexity of urban evolution. In this paper some methodological and operational problems which arise when a model of this kind, namely the Harris and Wilson model, is calibrated are dealt with. The main aspect of the calibration dealt with here is the problem of the separability of dynamics with different speeds (such as dynamics of stocks and dynamics of activities) when suitable data are lacking. It is shown, a
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28

Zhou, Guofeng, Yafei Wang, and Haiping Du. "A generalized method for three-dimensional dynamic analysis of a full-vehicle model." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 10-11 (2020): 2485–99. http://dx.doi.org/10.1177/0954407020916942.

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Dynamic performances of the vehicle are significantly influenced by the suspension mechanisms. An understanding of the effects of the suspension kinematics and statics (or, briefly, kinestatics) is crucial to improve the dynamic performances of a vehicle. However, the suspension kinestatics is often neglected in the dynamic analysis. This paper presents a generalized full-vehicle model for the three-dimensional dynamic analysis, which consists of two pairs of the front and rear spatial suspension mechanisms. Each suspension is represented by a corresponding instantaneous screw joint supporting
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29

Chang, C. W., and A. A. Shabana. "Spatial Dynamics of Deformable Multibody Systems With Variable Kinematic Structure: Part 1—Dynamic Model." Journal of Mechanical Design 112, no. 2 (1990): 153–59. http://dx.doi.org/10.1115/1.2912587.

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In this paper a method for the spatial kinematic and dynamic analysis of deformable multibody systems that are subject to topology changes is presented. A pieced interval analysis scheme that accounts for the change in the spatial system topology due to the changes in the connectivity between bodies is developed. Deformable bodies in the system are discretized using the finite element method and accordingly a finite set of deformation modes is employed to characterize the system vibration. Even though there are infinitely many arrangements for deformable body axes, computational difficulties m
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30

Masri, R. M., and I. M. Purwaamijaya. "Spatial and Activities Models of Airport Based on GIS and Dynamic Model." Journal of Physics: Conference Series 812 (February 2017): 012036. http://dx.doi.org/10.1088/1742-6596/812/1/012036.

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31

Yonghao, Jia, and Chen Xiulong. "Dynamic response analysis for multi-degrees-of-freedom parallel mechanisms with various types of three-dimensional clearance joints." International Journal of Advanced Robotic Systems 18, no. 3 (2021): 172988142110177. http://dx.doi.org/10.1177/17298814211017716.

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For spatial multibody systems, the dynamic equations of multibody systems with compound clearance joints have a high level of nonlinearity. The coupling between different types of clearance joints may lead to abundant dynamic behavior. At present, the dynamic response analysis of the spatial parallel mechanism considering the three-dimensional (3D) compound clearance joint has not been reported. This work proposes a modeling method to investigate the influence of the 3D compound clearance joint on the dynamics characteristics of the spatial parallel mechanism. For this purpose, 3D kinematic mo
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32

Si, Xue Tong, Ke Jian Chen, and Wen Hua Guo. "Dynamic Properties of Coupled Train-Bridge Interaction System." Advanced Materials Research 1065-1069 (December 2014): 875–81. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.875.

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This paper investigates the dynamic properties of each sub-system of a coupled railway train-bridge interaction system. Both spatial beam-plate model and spatial grillage model are built for a long-span dual-deck cable-stayed railway bridge by use of finite element method. The railway train is modeled as a mass-spring-damper system. Then free vibration equations are established based on the finite element models and then subspace iteration method is employed to calculate the dynamic properties for each sub-system. Results show that the spatial grillage model agrees well with the spatial beam-p
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33

Maneta, M. P., and N. L. Silverman. "A Spatially Distributed Model to Simulate Water, Energy, and Vegetation Dynamics Using Information from Regional Climate Models." Earth Interactions 17, no. 11 (2013): 1–44. http://dx.doi.org/10.1175/2012ei000472.1.

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Abstract Studies seeking to understand the impacts of climate variability and change on the hydrology of a region need to take into account the dynamics of vegetation and its interaction with the hydrologic and energy cycles. Yet, most of the hydrologic models used for these kinds of studies assume that vegetation is static. This paper presents a dynamic, spatially explicit model that couples a vertical energy balance scheme (surface and canopy layer) to a hydrologic model and a forest growth component to capture the dynamic interactions between energy, vegetation, and hydrology at hourly to d
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34

Hilborn, Ray, and Carl J. Walters. "A General Model for Simulation of Stock and Fleet Dynamics in Spatially Heterogeneous Fisheries." Canadian Journal of Fisheries and Aquatic Sciences 44, no. 7 (1987): 1366–69. http://dx.doi.org/10.1139/f87-163.

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A simple simulation model of stock and fleet dynamics is described that allows rapid exploration of the dynamics of fisheries in a spatially heterogeneous environment. The model simulates how fishermen allocate their search effort among spatial areas in relation to differential catch rates, prices, or area-specific desirabilities. The model runs in a few seconds per simulated year on an IBM microcomputer in interpreted BASIC, although both age structure and space are explicitly represented. The importance of exploring dynamic behavior of fisheries systems is discussed.
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35

Yu, Hanchen, Jingwei Li, Sarah Bardin, Hengyu Gu, and Chenjing Fan. "Spatiotemporal Dynamic of COVID-19 Diffusion in China: A Dynamic Spatial Autoregressive Model Analysis." ISPRS International Journal of Geo-Information 10, no. 8 (2021): 510. http://dx.doi.org/10.3390/ijgi10080510.

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COVID-19 has seriously threatened people’s health and well-being across the globe since it was first reported in Wuhan, China in late 2019. This study investigates the mechanism of COVID-19 transmission in different periods within and between cities in China to better understand the nature of the outbreak. We use Moran’s I, a measure of spatial autocorrelation, to examine the spatial dependency of COVID-19 and a dynamic spatial autoregressive model to explore the transmission mechanism. We find that the spatial dependency of COVID-19 decreased over time and that the transmission of the disease
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36

Goodrum, WJ, and D. Cebon. "Synthesising spatially repeatable tyre forces from axle load probability distributions." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230, no. 5 (2015): 699–714. http://dx.doi.org/10.1177/0954406215575581.

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Spatially repeatable dynamic tyre forces arise because heavy trucks are similar in weights, dimensions and dynamic characteristics and they travel at similar speeds. It is important to be able to model the statistical and spatial characteristics of dynamic tyre forces, using efficient algorithms, when studying the effects of vehicle–road interaction. Pitch-plane vehicle models derived from ‘per-vehicle’ weigh-in-motion (WIM) data of US ‘Class 9’ vehicles were used to generate a Virtual WIM vehicle fleet for spatial repeatability calculations. Four methods were investigated for simulating dynam
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37

Boucekkine, Raouf, Carmen Camacho, and Benteng Zou. "BRIDGING THE GAP BETWEEN GROWTH THEORY AND THE NEW ECONOMIC GEOGRAPHY: THE SPATIAL RAMSEY MODEL." Macroeconomic Dynamics 13, no. 1 (2009): 20–45. http://dx.doi.org/10.1017/s1365100508070442.

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We study a Ramsey problem in infinite and continuous time and space. The problem is discounted both temporally and spatially. Capital flows to locations with higher marginal return. We show that the problem amounts to optimal control of parabolic partial differential equations (PDEs). We rely on the existing related mathematical literature to derive the Pontryagin conditions. Using explicit representations of the solutions to the PDEs, we first show that the resulting dynamic system gives rise to an ill-posed problem in the sense of Hadamard. We then turn to the spatial Ramsey problem with lin
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38

Hamker, Fred H. "A dynamic model of how feature cues guide spatial attention." Vision Research 44, no. 5 (2004): 501–21. http://dx.doi.org/10.1016/j.visres.2003.09.033.

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39

Baltagi, Badi H., Bernard Fingleton, and Alain Pirotte. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model*." Oxford Bulletin of Economics and Statistics 76, no. 1 (2013): 112–38. http://dx.doi.org/10.1111/obes.12011.

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40

Yu, Benguo. "Dynamic behavior of a plant–wrack model with spatial diffusion." Communications in Nonlinear Science and Numerical Simulation 15, no. 8 (2010): 2201–5. http://dx.doi.org/10.1016/j.cnsns.2009.09.005.

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41

Baker, Bryan D. "Landscape pattern, spatial behavior, and a dynamic state variable model." Ecological Modelling 89, no. 1-3 (1996): 147–60. http://dx.doi.org/10.1016/0304-3800(95)00128-x.

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42

Johns, Craig J., and Christopher H. Mehl. "A Dynamic Spatial Model for Chronic Wasting Disease in Colorado." Journal of Data Science 4, no. 1 (2021): 21–37. http://dx.doi.org/10.6339/jds.2006.04(1).221.

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43

Mas, Erick, Daniel Felsenstein, Luis Moya, A. Yair Grinberger, Rubel Das, and Shunichi Koshimura. "Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA)." Journal of Disaster Research 13, no. 7 (2018): 1257–71. http://dx.doi.org/10.20965/jdr.2018.p1257.

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The DIM2SEA research project aims to increase urban resilience to large-scale disasters. We are engaged in developing a prototype Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA) that will give disaster officials, stakeholders, urban engineers and planners an analytic tool for mitigating some of the worst excesses of catastrophic events. This is achieved by harnessing state-of-the-art developments in damage assessment, spatial simulation modeling, and Geographic Information System (GIS). At the heart of DIM2SEA is an agent-based model combined with post-dis
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Chalmandrier, Loïc, Camille Albouy, Patrice Descombes, et al. "Comparing spatial diversification and meta-population models in the Indo-Australian Archipelago." Royal Society Open Science 5, no. 3 (2018): 171366. http://dx.doi.org/10.1098/rsos.171366.

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Reconstructing the processes that have shaped the emergence of biodiversity gradients is critical to understand the dynamics of diversification of life on Earth. Islands have traditionally been used as model systems to unravel the processes shaping biological diversity. MacArthur and Wilson's island biogeographic model predicts diversity to be based on dynamic interactions between colonization and extinction rates, while treating islands themselves as geologically static entities. The current spatial configuration of islands should influence meta-population dynamics, but long-term geological c
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Arif, S., B. Harimei, I. Alimuddin, Paharuddin, and Sakka. "Design and Development of Settlement Spatial Dynamics Model Using Dynamic and Neural Network Systems." IOP Conference Series: Earth and Environmental Science 280 (August 12, 2019): 012038. http://dx.doi.org/10.1088/1755-1315/280/1/012038.

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46

Lee, Hui-Hua, Kevin R. Piner, Mark N. Maunder, Ian G. Taylor, and Richard D. Methot. "Evaluation of alternative modelling approaches to account for spatial effects due to age-based movement." Canadian Journal of Fisheries and Aquatic Sciences 74, no. 11 (2017): 1832–44. http://dx.doi.org/10.1139/cjfas-2016-0294.

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Spatial patterns due to age-specific movement have been a source of unmodelled process error. Modeling movement in spatially explicit stock assessments is feasible, but hampered by a paucity of data from appropriate tagging studies. This study uses simulation analyses to evaluate alternative model structures that either explicitly or implicitly account for the process of time-varying age-based movement in a population dynamics model. We simulated synthetic populations using a two-area stochastic population dynamics operating model. Simulated data were fit in seven different estimation models.
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47

Kang, Yong Han, Mi Jin Lee, and Il Hyo Jung. "Optimal Harvesting for an Age-Spatial-Structured Population Dynamic Model with External Mortality." Abstract and Applied Analysis 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/184815.

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We study an optimal harvesting for a nonlinear age-spatial-structured population dynamic model, where the dynamic system contains an external mortality rate depending on the total population size. The total mortality consists of two types: the natural, and external mortality and the external mortality reflects the effects of external environmental causes. We prove the existence and uniqueness of solutions for the population dynamic model. We also derive a sufficient condition for optimal harvesting and some necessary conditions for optimality in an optimal control problem relating to the popul
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48

Wang, Zhi Gang, Ya Nan Yang, and Yi Fan Deng. "Dynamics Analysis of the Spatial Catapult Separation Problem." Applied Mechanics and Materials 427-429 (September 2013): 73–76. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.73.

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This paper analyzed the spatial catapult dynamics of spatial catapult on-orbit separation problem equipped with a separate rail, providing the basis for separation of ground testing and separation system design. under the premise of separation requirements as well as the arbitrariness of locations of the spring and rail, By using newtonian dynamics, as well as momentum theorem and angular momentum theorem, the dynamic model of the separating motion was formulated in translational inertial reference frame .Solution examples with different initial conditions were offered ,and the accuracy of the
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49

Cantrell, Robert Stephen, Chris Cosners, and Vivian Hutson. "Permanence in ecological systems with spatial heterogeneity." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 123, no. 3 (1993): 533–59. http://dx.doi.org/10.1017/s0308210500025877.

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SynopsisA basic problem in population dynamics is that of finding criteria for the long-term coexistence of interacting species. An important aspect of the problem is determining how coexistence is affected by spatial dispersal and environmental heterogeneity. The object of this paper is to study the problem of coexistence for two interacting species dispersing through a spatially heterogeneous region. We model the population dynamics of the species with a system of two reaction–diffusion equations which we interpret as a semi-dynamical system. We say that the system is permanent if any state
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50

Bai, Xiao Hong, Lei Xie, and Tao Wang. "Experimental Study and Finite Element Analysis on Dynamic Property of the Reinforced Concrete Frame-Bent Structure." Advanced Materials Research 243-249 (May 2011): 5223–26. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.5223.

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Based on the R.C. frame-bent structure in a large-scale thermal power plant’s main building, a 1/7 scale model has been tested by man-excitaiton to determine its’ dynamic properties. The former three frequencies and vibration modes of the model are obtained, and the dynamic property of the original structure is studied based on model similarity theory. At last, modal analysis of plane model and spatial model of prototype are discussed by using ANSYS FEA software, and the spatial dynamic preperty of the irregular structure is analyzed.
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