Spatial autocorrelation informed approaches to solving location–allocation problems

نویسندگان

چکیده

Surveying programs of study at institutions higher learning throughout the world reveals that one natural disciplinary coupling is statistics and operations research, although these two specific disciplines currently lack an active synergistic research interface. Similarly, development spatial optimization has occurred in parallel nearly isolation. This paper seeks to alter this situation by initiating transformative work interface subdisciplines, encouraging considerably more future interaction between them. It outlines three ways can contribute exploiting autocorrelation georeferenced data: missing attribute value imputation (analogous kriging); identifying colocations local hot spots medians; and, geographic tessellation stratified random sampling inputs heuristics successfully guide them optimal location solutions. One contention emphasized statistics/optimization furnishes another vehicle for delivering statistical benefits society, which, turn, providing better integration it into novel interdisciplinary contexts.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Ant-Based Approaches for Solving Autocorrelation Problems

We propose two ant–based formulations for solving autocorrelation problems. The formulations are combined with different ACO variants. Preliminary experiments of the derived approaches are conducted on two hard instances of the problem. Their performance is compared to an efficient Tabu Search algorithm, offering useful conclusions and motivation for further investigation.

متن کامل

Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression

In geo-statistics, the Durbin-Watson test is frequently employed to detect the presence of residual serial correlation from least squares regression analyses. However, the Durbin-Watson statistic is only suitable for ordered time or spatial series. If the variables comprise cross-sectional data coming from spatial random sampling, the test will be ineffectual because the value of Durbin-Watson'...

متن کامل

On Spatial Constraint Solving Approaches

Simultaneous spatial constraint problems can be approached algebraically, geometrically, or constructively. We examine how each approach performs, using several example problems, especially constraint problems involving lines. We also prove that there are at most 12 real tangents to four given spheres in R. abstract.

متن کامل

New Approaches for Calculating Moran’s Index of Spatial Autocorrelation

Spatial autocorrelation plays an important role in geographical analysis; however, there is still room for improvement of this method. The formula for Moran's index is complicated, and several basic problems remain to be solved. Therefore, I will reconstruct its mathematical framework using mathematical derivation based on linear algebra and present four simple approaches to calculating Moran's...

متن کامل

Spatial Autocorrelation

Glossary AutoA prefix literally meaning self; spatial autocorrelation means self-correlation, or values within a given variable are correlated, resulting in the variable being correlated with itself. Correlation A description of the nature and degree of a relationship between a pair of quantitative variables. Geary Ratio An index of spatial autocorrelation, involving the computation of squared ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: spatial statistics

سال: 2022

ISSN: ['2211-6753']

DOI: https://doi.org/10.1016/j.spasta.2022.100612