Journal Article10.1080/02693799008941555
Positional uncertainty in manually digitized map data
70
TL;DR: A statistical characterization of positional error in manually-digitized and map-registered point data, the relative contribution of point type and operator to digitization error, and the effects of map media type on the positional uncertainty associated with registration are reported on.
read more
Abstract: Digital map coordinates represent the locations of real world entities. As such, differences can exist between the ‘tru’ and digital database coordinates of those entities. This paper reports on a statistical characterization of positional error in manually-digitized and map-registered point data, the relative contribution of point type and operator to digitization error, and the effects of map media type on the positional uncertainty associated with registration. Manually-digitized point data were collected by four operators from mylar and paper maps. Point locations for a number of different feature types were sampled from United States Geological Survey (USGS) 1:24 000 scale maps. Linear models were used to estimate the variance components due to among-operator, map media, point type and registration effects. The statistical distribution of signed distance deviations for manually-digitized data was leptokurtic relative to a random normal variate. Unsigned deviations averaged 0-054 mm. Squared distance ...
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Comparison of methods for land-use classification incorporating remote sensing and GIS inputs
Offer Rozenstein,Arnon Karnieli +1 more
TL;DR: In this article, the authors explore low-cost techniques for combining current satellite RS data together with data from the Israeli Geographic Information System (GIS) in order to create a relatively accurate and current land-use map for the northern Negev.
338
Geomorphic change detection using historic maps and DEM differencing: The temporal dimension of geospatial analysis
TL;DR: In this article, the authors present a review of methods of geomorphic change detection based on gridded models, which can be applied to a wide range of time periods by utilizing cartometric, remote sensing, or ground-based topographic survey data to measure volumetric change.
297
A high resolution map of soil types and physical properties for Cyprus: A digital soil mapping optimization
Corrado Camera,Z. Zomeni,Jay S. Noller,Andreas M. Zissimos,Irene C. Christoforou,Adriana Bruggeman +5 more
TL;DR: In this paper, a multiple-trees classification technique, namely Random Forest (RF), was applied to extend predictions from 1:25,000 legacy soil surveys (including WRB soil groups, soil depth and soil texture classes) to the larger area of Cyprus.
133
A locational error model for spatial features
Yee Leung,Jianping Yan +1 more
- 01 Sep 1998
TL;DR: Using error in points as the fundamental building block, a stochastic model is constructed to analyse point, line, and polygon errors within a unified framework, a departure from current practices which treat errors in point and line separately.
90
An Application of Linear Programming and Geographic Information Systems: Cropland Allocation in Antigua
TL;DR: In this article, the application of linear programming (LP) in combination with a geographic information system (GIS) in planning agricultural land-use strategies is focused on the application in small countries such as those in the Eastern Caribbean, where land area limitations dictate a greater need for careful assessment and management of these resources.
82
References
•Book
Principles and Procedures of Statistics: A Biometrical Approach
Robert G. D. Steel,James H. Torrie +1 more
- 01 Jun 1980
TL;DR: Observations probability sampling from a normal distribution comparisons involving two sample means principles of experimental design analysis of variance.
16.9K
Graphical Methods for Data Analysis
M. J. R. Healy,John M. Chambers,William S. Cleveland,Beat Kleiner,Paul A. Tukey +4 more
- 01 May 1984
Abstract: Introduction. Portraying the distribution of a set of data. Comparing data distributions. Studying two-dimensional data. Studying multi-dimensional data. Plotting multivariate data. Assessing distributional assumptions data. Developing and assessing regression models. General principles and techniques. References. Appendix: tables of data sets. Index.
3.1K
•Book
Introduction to Mathematical Statistics
Robert V. Hogg,Joseph W. McKean,Allen T. Craig +2 more
- 01 Jan 1959
TL;DR: In this article, the authors present a list of common distributions of probability and distribution of likelihood for Bayesian models. But they do not discuss the relation between distributions and normal models.
3K
•Book
Principles of Geographical Information Systems for Land Resources Assessment
Peter A. Burrough
- 21 Aug 1986
TL;DR: Geographical information systems Data structures for thematic maps Digital elevation models Data input, verification, storage, and output Methods of data analysis and spatial modelling Data quality, errors, and natural variation: sources of error Errors arising through processing.
2.8K