E S Sheppard
Biographic Data
| ID | 3719403 |
|---|---|
| NAME | E S Sheppard |
| GIVEN NAMES | E S |
| FAMILY NAME | Sheppard |
| SIGNATURE | SHEPPARD E S |
| AFFILIATIONS | University of Minnesota |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1974 |
| LATEST PUBLICATION YEAR | 1976 |
| H-INDEX | 2 |
Entropy, Theory Construction and Spatial Analysis
The framework of Bayesian inference is proposed as a structure for unifying those highly disparate approaches to entropy modelling that have appeared in geography to date, and is used to illuminate the possibilities and shortcomings of some of these models. The inadequacy of most descriptive entropy statistics for measuring the information in a spatially-autocorrelated map is described. The contention that entropy maximization in itself provides …
A Conceptual Framework for Dynamic Location-Allocation Analysis
To date, much of the work published on the problems of plant construction has been restricted to either determining the timing of the building, or forming static location-allocation models, with little attempt to combine the spatial and temporal aspects into one solution. By construction of a taxonomic tree, this paper demonstrates that the capacity expansion and the location-allocation solutions are just the simplest instances of a whole class o…
A Conceptual Framework for Dynamic Location-Allocation Analysis
To date, much of the work published on the problems of plant construction has been restricted to either determining the timing of the building, or forming static location-allocation models, with little attempt to combine the spatial and temporal aspects into one solution. By construction of a taxonomic tree, this paper demonstrates that the capacity expansion and the location-allocation solutions are just the simplest instances of a whole class o…
Entropy, Theory Construction and Spatial Analysis
The framework of Bayesian inference is proposed as a structure for unifying those highly disparate approaches to entropy modelling that have appeared in geography to date, and is used to illuminate the possibilities and shortcomings of some of these models. The inadequacy of most descriptive entropy statistics for measuring the information in a spatially-autocorrelated map is described. The contention that entropy maximization in itself provides …
A Conceptual Framework for Dynamic Location-Allocation Analysis
To date, much of the work published on the problems of plant construction has been restricted to either determining the timing of the building, or forming static location-allocation models, with little attempt to combine the spatial and temporal aspects into one solution. By construction of a taxonomic tree, this paper demonstrates that the capacity expansion and the location-allocation solutions are just the simplest instances of a whole class o…
Entropy, Theory Construction and Spatial Analysis
The framework of Bayesian inference is proposed as a structure for unifying those highly disparate approaches to entropy modelling that have appeared in geography to date, and is used to illuminate the possibilities and shortcomings of some of these models. The inadequacy of most descriptive entropy statistics for measuring the information in a spatially-autocorrelated map is described. The contention that entropy maximization in itself provides …
Artificial Intelligence (2 works) · Computer Science (2 works) · Mathematics (2 works) · Advanced Manufacturing and Logistics Optimization (1 works) · Bayesian inference (1 works) · Bayesian probability (1 works) · Binary entropy function (1 works) · Civil engineering (1 works) · Econometrics (1 works) · Engineering (1 works)