Ferenc Csillag
Biographic Data
| ID | 5245683 |
|---|---|
| NAME | Ferenc Csillag |
| GIVEN NAMES | Ferenc |
| FAMILY NAME | Csillag |
| SIGNATURE | CSILLAG F |
| AFFILIATIONS | Syracuse University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1989 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 1 |
A framework for statistical inferential decisions in spatial pattern analysis
The desire of many geographical information science (GIS) practitioners to undertake sophisticated spatial pattern analysis has been facilitated by the increasing availability of specialised software and the appearance of pedagogic papers illustrating the application of various techniques. However, the appropriate use of these techniques also requires an understanding of the nature of hypothesis testing and statistical inference for spatial data.…
Exploring relationships between semi-variogram and spatial autoregressive models
Exploring Relationships Between Semi‐variogram and Spatial Autoregressive Models
The Nature Of Boundaries On ‘Area-Class’ Maps
Appropriate generalization methods for geographic data must depend upon the kind of feature being generalized. Most research on cartographic line generalization has concentrated on linear features such as coastlines, rivers and roads; however, methods for the generalization of such linear geographic features may not be appropriate for the generalization of other types of cartographic lines. In this paper, we present a model of another type of car…
A framework for statistical inferential decisions in spatial pattern analysis
The desire of many geographical information science (GIS) practitioners to undertake sophisticated spatial pattern analysis has been facilitated by the increasing availability of specialised software and the appearance of pedagogic papers illustrating the application of various techniques. However, the appropriate use of these techniques also requires an understanding of the nature of hypothesis testing and statistical inference for spatial data.…
Exploring relationships between semi-variogram and spatial autoregressive models
The Nature Of Boundaries On ‘Area-Class’ Maps
Appropriate generalization methods for geographic data must depend upon the kind of feature being generalized. Most research on cartographic line generalization has concentrated on linear features such as coastlines, rivers and roads; however, methods for the generalization of such linear geographic features may not be appropriate for the generalization of other types of cartographic lines. In this paper, we present a model of another type of car…
Exploring relationships between semi-variogram and spatial autoregressive models
Exploring Relationships Between Semi‐variogram and Spatial Autoregressive Models
A framework for statistical inferential decisions in spatial pattern analysis
The desire of many geographical information science (GIS) practitioners to undertake sophisticated spatial pattern analysis has been facilitated by the increasing availability of specialised software and the appearance of pedagogic papers illustrating the application of various techniques. However, the appropriate use of these techniques also requires an understanding of the nature of hypothesis testing and statistical inference for spatial data.…
Mathematics (4 works) · Soil Geostatistics and Mapping (3 works) · Spatial and Panel Data Analysis (3 works) · Statistics (3 works) · Artificial Intelligence (2 works) · Autoregressive model (2 works) · Computer Science (2 works) · Econometrics (2 works) · Environmental Science (2 works) · Geography (2 works)