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Exploiting Parallelization in Spatial Statistics: An Applied Survey Using R

https://doi.org/10.2139/ssrn.1690584
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471662682openalex-extracted
Applied Spatial Statistics for Public Health Data
inferredcites →https://doi.org/10.1002/9780470316726openalex-extracted
Stochastic Simulation
inferredcites →https://doi.org/10.1002/9781119115151openalex-extracted
Statistics for Spatial Data
inferredcites →https://doi.org/10.1002/spe.626openalex-extracted
Minimizing development and maintenance costs in supporting persistently optimized BLAS
inferredcites →https://doi.org/10.1007/978-1-4302-0744-3_16openalex-extracted
Installation and Administration
inferredcites →https://doi.org/10.1007/978-1-4614-7618-4openalex-extracted
Applied Spatial Data Analysis with R
inferredcites →https://doi.org/10.1007/s00180-008-0117-9openalex-extracted
Code analysis and parallelizing vector operations in R
inferredcites →https://doi.org/10.1007/s10109-009-0086-8openalex-extracted
Show me the code: spatial analysis and open source
inferredcites →https://doi.org/10.1007/s10766-008-0077-2openalex-extracted
Snow: A Parallel Computing Framework for the R System
inferredcites →https://doi.org/10.1016/j.csda.2008.07.021openalex-extracted
Power calculations for global and local Moran’s
inferredcites →https://doi.org/10.1016/s0167-8191(00)00087-9openalex-extracted
Automated empirical optimizations of software and the ATLAS project
inferredcites →https://doi.org/10.1068/a37378openalex-extracted
Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach
inferredcites →https://doi.org/10.1080/17421770903541772openalex-extracted
Applied Spatial Econometrics: Raising the Bar
inferredcites →https://doi.org/10.1111/1467-9884.00145openalex-extracted
Geographically Weighted Regression
inferredcites →https://doi.org/10.1111/j.1467-9671.2009.01181.xopenalex-extracted
Grid-enabling Geographically Weighted Regression: A Case Study of Participation in Higher Education in England
inferredcites →https://doi.org/10.1111/j.1538-4632.2007.00708.xopenalex-extracted
Beyond Moran'sI: Testing for Spatial Dependence Based on the Spatial Autoregressive Model
inferredcites →https://doi.org/10.1145/1356052.1356053openalex-extracted
Anatomy of high-performance matrix multiplication
inferredcites →https://doi.org/10.1145/1377603.1377607openalex-extracted
High-performance implementation of the level-3 BLAS
inferredcites →https://doi.org/10.1198/106186007x178979openalex-extracted
Simple Parallel Statistical Computing in R
inferredcites →https://doi.org/10.1201/9781420064254openalex-extracted
Introduction to Spatial Econometrics
inferredcites →https://doi.org/10.1287/opre.50.6.1073.358openalex-extracted
An Object-Oriented Random-Number Package with Many Long Streams and Substreams
inferredcites →https://doi.org/10.1353/geo.2002.0018openalex-extracted
The Saddlepoint Approximation of Moran's I's and Local Moran's I i's Reference Distributions and Their Numerical Evaluation
inferredcites →https://doi.org/10.18637/jss.v031.i01openalex-extracted
State of the Art in Parallel Computing withR
inferredcites →https://doi.org/10.2307/2533238openalex-extracted
Statistics for Spatial Data, Revised Edition.
inferredcites →https://doi.org/10.32614/rj-2009-004openalex-extracted
Easier parallel computing in R with snowfall and sfCluster
inferredcites →https://doi.org/10.32614/rj-2009-014openalex-extracted
Aspects of the Social Organization and Trajectory of the R Project
inferredcites →https://doi.org/10.4000/rei.3887openalex-extracted
An Introduction to Spatial Econometrics

What points at this work

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inferred← citeshttps://doi.org/10.1016/j.csda.2008.07.021openalex-snapshot
Power calculations for global and local Moran’s
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