Simple Thematic Mapping

Thematic Representation in Simple Recurrent Networks

Introduction Simple recurrent networks (SRNs) are able to learn and represent lexical classes (Elman, 1990) and grammatical knowledge, such as agreement and argument structure (Elman, 1991), on the basis of co-occurrence regularities embedded in simple and complex sentences. In the present study, we address the question whether SRNs can represent differences in the thematic roles assigned by ve...

Mapping Spatial Thematic Accuracy Using Indicator Kriging

Environmental mapping made simple

In environmental applications such as forestry, the capture of the polygonal structuring of the data is expensive in terms of hardware, software and labour due largely to difficulties in constructing a topologically complete map. This paper will show that, for many applications, topological structuring and data entry methods may be made quite simple, The example used is a paper map of forest po...

Thematic Mapping from Imagery: an Aspect of Automated Map Generalization

Map generalization, as a means of portraying the complex real world, has to date been confined to the manipulation of map data. With the advent of new data acquisition techniques, particularly remote sensing, data sources for spatial analysis have greatly increased. However, map generalization from image data is a challenging problem. In this paper, the conceptual and technical problems in gene...

The Continuum of Classification Fuzziness in Thematic Mapping

Thematic mapping from remotely sensed data is generally achieved through the application of a supervised image classification. Although this is one of the most common applications of remote sensing, the maps derived are often of insufficient accuracy for operational use. Consequently, considemble research effort has been directed at increasing the accuracy of thematic mapping, particularly thro...