Statistics do sweat: Situated messiness and spatial science

Analysis of Drought Spatial Statistics in Iran

Drought is one of the environmental events and an inseparable part of climatic fluctuations. This phenomenon is one of the main characteristics of the various climates. Awareness of spatiotemporal behavior is effective in land planning. The spatial statistical methods provide the means by which they analyze the spatial patterns of random variables such as precipitation. In this study, using the...

Situated interaction on spatial topics

The interaction on spatial topics is highly important no only in the context of mobile and situated systems but also in other fields such as natural language access to maps or user interfaces. Therefore, one goal of this thesis is to develop a generic model for situated interaction on spatial topics that can be used to build real world applications. In addition, we analyze typical problems that...

Spatial Statistics

This article gives a brief overview of classical spatial statistics. Three main types of spatial data are considered: geostatistical data, lattice data, and spatial point patterns. Modeling themes common to all three data types are emphasized. In addition, some basic structural identification procedures for each data type are described. Finally, maximum likelihood estimation and spatial predict...

Spatial Statistics

Situated Learning in Computer Science Education

Sociocultural theories of learning such as Wenger and Lave’s situated learning have been suggested as alternatives to cognitive theories of learning like constructivism. This article examines situated learning within the context of computer science (CS) education. Situated learning accurately describes some CS communities like open-source software development, but it is not applicable to other ...