Dynamics of generalised spatial interaction models

  • 1.47 MB
Vrije Universiteit, Faculteit det Economische Wetenschappen , Amsterdam
StatementPeter Nijkamp, Jacques Poot.
SeriesSerie research memoranda : Researchmemorandum -- 1986-6, Serie research memoranda -- 1986-6.
ContributionsPoot, Jacques.
ID Numbers
Open LibraryOL13959619M

Simulation with a dynamic generalised spatial interaction model. Nijkamp and J. Poot, Spatial interaction models In figs. la-ld, the carrying capacity of each region was assumed greater than million, but natural increase was set to zero in order to concentrate on the spatial interaction component of population growth.

by: This paper analyses dynamic properties of generalised spatial interaction models, with particular emphasis on Alonso's general theory of movements. Although the application of this theory Dynamics of generalised spatial interaction models book in the paper is a multiregional demographic stock–flow model, the approach can also be adopted to other types of spatial interaction by: Nijkamp, P & Poot, HJDynamics of generalised spatial interaction models.

in KE Haynes, K Button & P Nijkamp (eds), Regional dynamics. Vol II. Edward Elgar Cited by: Dynamics of generalised spatial interaction models.

Peter Nijkamp and Jacques Poot. No 6, Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics Date: References: View references in EconPapers View complete reference list from CitEc Citations: View citations in EconPapers (1) Track citations by RSS feedCited by: DANS is an institute of KNAW and NWO.

Driven by data. Go to page top Go back to contents Go back to site navigationAuthor: P. Nijkamp, H.J. Poot. Download PDF: Sorry, we are unable to provide the full text but you may find it at the following location(s): (external link).

In book: International Encyclopedia of Human Geography (pp) Dynamics of Generalized Spatial Interaction Models Equilibrium and stability conditions are examined by.

one to infer the dynamics of the relation of the forcing function and the flows. Background The foregoing objectives were motivated by previous papers in which geographical locations were predicted from empirical interaction data by inverting models which contained spatial separations as one of the explanatory variables [1,2].

Nijkamp, P. and H.J. Poot:‘Dynamics of generalized spatial interaction models’, Regional Science and Urban Econom – CrossRef Google Scholar Nijkamp, P. and A. Reggiani:‘A synthesis between macro and micro models in spatial interaction analysis with special reference to dynamics’, Research Memorandum, Dept.

This book uses entropy-maximising versions of spatial interaction models. The authors explore the dynamics in more detail, using advanced visualisation techniques.

Download Dynamics of generalised spatial interaction models FB2

Downloadable. The paper provides a framework for judging various spatial choice and interaction models on the basis of methodological, theoretical, logical and practical criteria. After a brief discussion of several common models (such as gravity models, entropy models, logit models, probit models and multiproportional Poisson models), the significance of these models is assessed by.

distribution of land-use dynamics using spatial interaction models, a methodology is proposed, followed by a research agenda, before concluding. APPROACH To understand the dynamics of land-use that operate on a territory, it is necessary to relate these dynamics with the spatial interactions that appear between different land-use units, which.

"Population dynamics of cities in a region: conditions for a state of simultaneous growth," Environment and Planning A, Pion Ltd, London, vol.

11(6), pagesJune.

Details Dynamics of generalised spatial interaction models EPUB

Nijkamp, Peter & Poot, Jacques, "Dynamics of generalised spatial interaction models," Regional Science and Urban Economics, Elsevier, vol. 17(3), pagesAugust. Spatial Interaction Modelling: A Regional Science Context (Advances in Spatial Science) th Edition by John R.

Roy (Author) ISBN Spatial Interaction Model has been added to your Cart Add to Cart. Buy Now More Buying Choices 6 New from $ 7 Used from $   This paper presents an agent-based model named CID-USST (Creative Industries Development-Urban Spatial Structure Transformation) that examines the dynamics of the interaction between the development of creative industries and urban spatial structure by outputting a set of adaptive scenarios through time and space.

Description Dynamics of generalised spatial interaction models EPUB

‘On the relationship between Alonso’s theory of movement and Wilson’s family of spatial-interaction models’, Environment and Planning, A13,pp. – CrossRef Google Scholar Malecki, E.J., ‘Technology and regional development: a survey’, Inter- national Regional Science Review, Vol.

8. Generalized Procedures for Evaluating Spatial Autocorrelation. Hubert. Citation analysis using a spatial autoregressive model and pseudo-spatial data, Journal of Informetrics, /, 13, 1, Spatial Interaction and Spatial Autocorrelation. This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling.

The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects.

Therefore, in this article, the usefulness of a recently available big transport data set—the New York City taxi trip data—is evaluated within a spatial interaction modeling framework.

This is done by first comparing parameter estimates from a model using the taxi data to parameter estimates from a model using a traditional commuting data set. 3 - Spatial GAMs and Interactions. In this chapter, you will extend the types of models you can fit to those with interactions of multiple variables.

You will fit models of geospatial data by using these interactions to model complex surfaces, and visualize those surfaces in 3D. Martin Watts, Analytical and conceptual issues in the interpretation of doubly constrained spatial interaction models, Letters in Spatial and Resource Sciences.

Harris and A. Wilson, ‘Equilibrium Values and Dynamics of Attractiveness Terms in Production-Constrained Spatial-Interaction Models’, Environment and Planning, A,10, – D. The gravity model is used to analyze the spatial interactions of the core city with the periphery.

The study results show that spatial integration, spatial interaction and urban agglomeration have a positive effect on the system of urban activity and economic growth in the outskirts of the Mamminasata Metropolitan area.

Reilly's Law of Retail Gravitation ranks among the classics of marketing geography. In this paper an examination of the evolution of Reilly's law is made, the contemporaneous wheel of retailing theory being used as an organisational framework.

In line with the wheel, the gravity model commenced as a simple conceptualisation of consumer spatial behaviour, became increasingly sophisticated. This volume gives a broad picture of the processes of U.S.

urban-industrial growth and urban competition in space during the period from to It is the first in its field to answer two major deficiencies in the literature on the growth and development of cities: the inability to see urban growth as a process and the tendency to explain it solely in economic sor Pred.

The authors explore four models: scalar conservation laws, compressible Euler equations, zero-pressure gas dynamics, and pressure-gradient equations.

They use the method of generalized characteristic analysis plus numerical experiments to demonstrate the elementary field interaction patterns of shocks, rarefaction waves, and slip lines. Spatial Interaction Models and Gravity Theory a Concise Overview.- Introduction.- Gravity Analysis and Spatial Interaction Models.- Gravity Theory and the Social Sciences.- Alternative Utility Foundations and Specifications of Gravity Theory.- Simple interaction theory.- System-wide cost efficiency.- Aggregate.

by Marc Kéry & Andy Royle This is the permanent book web site of the Applied hierarchical modeling (AHM) project. It comprises two volumes of a book with the same name and the R package AHMbook which can be downloaded from CRAN; our BIG thanks for this go to Mike Meredith!.

We plan to publish the solutions to some or all the exercises in AHM volume 1, but this will likely have to wait until. The generalized cost of commuting on a link in time step is assumed to consist of two parts (spatial interaction) model should that this parameter highly influences the spatial distribution of roads.

(as in this model) but by including the dynamics of land use richer transportation as well as urban dynamics can be captured. References. An introduction to spatial econometric models and methods is provided that discusses spatial autoregressive processes that can be used to extend conventional regression models.

Estimation and interpretation of these models are illustrated with an applied example that examines the relationship between commuting to work times and transportation mode choice for a sample of 3, US counties.

Spatial interaction modeling. In this research, I use a spatial interaction modeling approach that is more flexible than the binary approaches commonly used in spatial analysis of TRI data, yet is fast enough and generic enough to apply to the thousands or millions of.

This book uses entropy-maximising versions of spatial interaction models. The authors explore the dynamics in more detail, using advanced visualisation techniques.

These ideas have wide potential uses, and the book illustrates this with applications in history and : Joel Dearden.In: Karlquist, A. et al. (Eds.), Spatial Interaction Theory and Residential Location. North-Holland, Amsterdam, pp.

75–96]. The main objectives of this paper are (i) to provide a general theoretical foundation, so that the development of new GEV models will be easier in the future, and (ii) to propose an easy way of generating new GEV models.