Results 221 to 230 of about 217,536 (268)

Orientation discrimination depends on spatial frequency

Vision Research, 1991
Thresholds were measured for discriminating the orientation of sinusoidal gratings of varying spatial frequency, and found to decrease monotonically with increasing spatial frequency. For discrimination of high-contrast (10 times threshold) near-vertical gratings, thresholds ranged from about 1 deg at 0.04 c/deg to 0.5 deg at 0.2 c/deg, after which ...
BURR, DAVID CHARLES, S. A. WIJESUNDRA
openaire   +2 more sources

Spatial Interaction Models and Spatial Dependence

2011
Spatial interaction models of the types discussed in the previous chapter take the view that inclusion of a spatial separation function between origin and destination locations is adequate to capture any spatial dependence in the sample data. LeSage and Pace (J Reg Sci 48(5):941–967, 2008), and Fischer and Griffith (J Reg Sci 48(5):969–989, 2008 ...
Fischer, Manfred M., Wang, Jinfeng
openaire   +1 more source

On the paradigmatic and spatial dependency of indicators

1998
This chapter provides comments on the previous two chapters by Pearce et al. and by Ayres, respectively. It is not easy to comment upon two very interesting contributions that are so different in angle and approach. Although both contributions cover the same topic — they are in search of indicators of sustainable development — I am afraid that, as it ...
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Forecasting with Spatial Dependencies

2017
With the explosion of computerized mapping and spatial modeling techniques over the last 30 years, there has been increased interest in developing small-area demographic estimation and forecasting models that incorporate spatial dependencies among geographic units.
Jack Baker, David A. Swanson, Jeff Tayman, Lucky M. Tedrow   +3 more
openaire   +1 more source

Neighborhood Dependence in Bayesian Spatial Models

Biometrical Journal, 2009
AbstractThe conditional autoregressive model and the intrinsic autoregressive model are widely used as prior distribution for random spatial effects in Bayesian models. Several authors have pointed out impractical or counterintuitive consequences on the prior covariance matrix or the posterior covariance matrix of the spatial random effects.
Renato, Assunção, Elias, Krainski
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Simple diagnostic tests for spatial dependence

Regional Science and Urban Economics, 1996
In this paper we propose simple diagnostic tests, based on ordinary least-squares (OLS) residuals, for spatial error autocorrelation in the presence of a spatially lagged dependent variable and for spatial lag dependence in the presence of spatial error autocorrelation, applying the modified Lagrange multiplier (LM) test developed by Bera and Yoon ...
Anselin, L., Bera, A.K., Florax, R., Yoon, M.J.   +3 more
openaire   +2 more sources

Spatial Dependence and Autocorrelation

2018
The detection, characterization, and significance testing of spatial pattern is the first step to understand spatial ecological data and the processes that generated them. Spatial dependence commonly occurs in ecological data and it is often argued that failure to account for spatial dependence can impact inferences in ecology and guidance for ...
Robert Fletcher, Marie-Josée Fortin
openaire   +1 more source

Spatial Dependence Measures

2009
Rather than geometrical weighting functions as in Chapter 2, it is preferable to obtain spatial dependence function from a set of measurements points. Prior to such a functional derivation, it is necessary to examine the isotropy and homogeneity of the spatial data directionally and the point-wise features of the regionalized variable (ReV). The basics
openaire   +1 more source

Exploring spatial path dependence in industrial space with big data: A case study of Beijing

Cities, 2021
Zhenshan Yang
exaly  

Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models

Transport Policy, 2021
Jiangbo Wang, , Toshiyuki Yamamoto
exaly