Encoding Categorical and Coordinate Spatial Relations Without Input-Output Correlations: New Simulation Models

Our spatial mental representations allow us to give refined descriptions of the environment in terms of the relative locations and distances between objects and landmarks. In this study, we investigated the effects of familiarity with the everyday environment, in terms of frequency of exploration and mode of transportation, on categorical and coordinate spatial relations, on young and elderly participants, controlling for socio-demographic factors. Participants were tested with a general anamnesis, a neuropsychological assessment, measures of explorations and the Landmark Positioning on a Map task. The results showed: (a) a modest difference in performance with categorical spatial relations; (b) a larger difference in coordinate spatial relations; (c) a significant moderating effect of age on the relationship between familiarity and spatial relations, with a stronger relation among the elderly than the young. Ceteris paribus, the role of direct experience with exploring their hometown on spatial mental representations appeared to be more important in the elderly than in the young. This advantage appears to make the elderly wiser and likely protects them from the detrimental effects of aging on spatial mental representations.

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On the hemispheric specialization for categorical and coordinate spatial relations: a review of the current evidence

Neuropsychologia ◽

10.1016/s0028-3932(02)00086-6 ◽

2003 ◽

Vol 41 (4) ◽

pp. 504-515 ◽

Cited By ~ 146

Author(s):

G Jager

Keyword(s):

Hemispheric Specialization ◽

Spatial Relations ◽

Current Evidence ◽

Coordinate Spatial Relations

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Focusing Narrowly or Broadly Attention When Judging Categorical and Coordinate Spatial Relations: A MEG Study

PLoS ONE ◽

10.1371/journal.pone.0083434 ◽

2013 ◽

Vol 8 (12) ◽

pp. e83434 ◽

Cited By ~ 5

Author(s):

Raffaella Franciotti ◽

Stefania D’Ascenzo ◽

Alberto Di Domenico ◽

Marco Onofrj ◽

Luca Tommasi ◽

...

Keyword(s):

Spatial Relations ◽

Coordinate Spatial Relations

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MODELING SUSTAINABLE ECONOMY: INTEGRATING ECONOMIC, ENVIRONMENTAL, AND POPULATION MODELS

International Journal of Innovation and Technology Management ◽

10.1142/s0219877013500077 ◽

2013 ◽

Vol 10 (01) ◽

pp. 1350007

Author(s):

FREDERICK BETZ

Keyword(s):

Environmental Impact ◽

Economic Model ◽

Simulation Models ◽

Environmental Policies ◽

Input Output ◽

Physical Processes ◽

Environmental Model ◽

Data Architecture ◽

Sustainable Economy ◽

Biological Impacts

For economic and environmental policies aimed at developing sustainable economies, it is important to have a general modeling approach which can quantitatively connect economic processes with biological and physical processes of the environment. If economic processes cannot be measured as to their real physical/biological impacts, one does not know whether or not such economic processes are sustainable in nature. To create an integrated economic/environmental model, we have mathematically generalized the Leontief's input–output economic model — from vector notation to tensor notation. The use of tensor mathematics for input–output models of both an economy and its environment provides a data architecture to create simulation models of the environmental impact of an economy.

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Conjoining an Input-Output Model and a Policy Analysis Model: A Case Study of the Regional Economic Effects of Expanding a Port Facility

Environment and Planning A Economy and Space ◽

10.1068/a131029 ◽

1981 ◽

Vol 13 (8) ◽

pp. 1029-1038 ◽

Cited By ~ 19

Author(s):

B H Stevens ◽

G I Treyz ◽

J K Kindahl

Keyword(s):

Policy Analysis ◽

Simulation Models ◽

Economic Effects ◽

Input Output ◽

Analysis Model ◽

General Applicability ◽

Distinctive Features ◽

The Cost ◽

Port Facility

A 484-sector Massachusetts static input-output (MIO) model is conjoined with the Massachusetts Economic Policy Analysis (MEPA) model which includes supply relationships, industrial location responses to changing costs, and a production function allowing substitution among inputs. This makes it possible to draw upon the distinctive features of both models. The technique is demonstrated by a study that analyzes the effect on the Massachusetts economy of the expansion of a container port facility at Boston. The approach presented here has general applicability to policy analysis and planning studies that require both the detailed regional interindustry interactions captured by a disaggregated input-output model and the cost, price, supply, location, and demand interdependencies which are endogenous in the best regional forecasting and policy simulation models.

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Categorical and coordinate spatial relations in working memory: An fMRI study

Brain Research ◽

10.1016/j.brainres.2009.07.088 ◽

2009 ◽

Vol 1297 ◽

pp. 70-79 ◽

Cited By ~ 30

Author(s):

Ineke J.M. van der Ham ◽

Mathijs Raemaekers ◽

Richard J.A. van Wezel ◽

Anna Oleksiak ◽

Albert Postma

Keyword(s):

Working Memory ◽

Spatial Relations ◽

Fmri Study ◽

Coordinate Spatial Relations

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Hemispheric Processing of Categorical and Coordinate Spatial Relations in the Absence of Low Spatial Frequencies

Journal of Cognitive Neuroscience ◽

10.1162/089892902317236902 ◽

2002 ◽

Vol 14 (2) ◽

pp. 291-297 ◽

Cited By ~ 15

Author(s):

Matia Okubo ◽

Chikashi Michimata

Keyword(s):

Visual Field ◽

Spatial Frequency ◽

Right Hemisphere ◽

Spatial Relation ◽

Spatial Relations ◽

Right Visual Field ◽

Spatial Frequencies ◽

Categorical Task ◽

The Right ◽

Coordinate Spatial Relations

Right-handed participants performed the categorical and coordinate spatial relation judgments on stimuli presented to either the left visual field—right hemisphere (LVF-RH) or the right visual field—left hemisphere (RVF-LH). The stimulus patterns were formulated either by bright dots or by contrast-balanced dots. When the stimuli were bright, an RVF-LH advantage was observed for the categorical task, whereas an LVF-RH advantage was observed for the coordinate task. When the stimuli were contrast balanced, the RVF-LH advantage was observed for the categorical task, but the LVF-RH advantage was eliminated for the coordinate task. Because the contrast-balanced dots are largely devoid of low spatial frequency content, these results suggest that processing of low spatial frequency is responsible for the right hemisphere advantage for the coordinate spatial processing.

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