Showing papers in "Computers & Geosciences in 2000"

TL;DR: The focus of the paper is on the variogram in classification both as a measure of texture and as a guide to choice of smoothing function in the remote sensing case.

TL;DR: A methodology based on computing a set of univariate and multivariate textural measures of spatial variability based on several variogram estimators, and an application of this methodology to lithological discrimination is presented using a Landsat-5 TM image.

TL;DR: The accuracy with which land cover could be classified in this region was maximised at 89% by using a per-field, ANN approach in which semivariance at a lag of 1 pixel was incorporated as textural information, 15% greater than the accuracy achieved using a standard per-pixel ML classification.

TL;DR: Since untrained classes are commonly encountered it may be more appropriate to use approaches such as the PCM in addition to, or instead of, the FCM to enhance the extraction of land cover information from remotely sensed data.

TL;DR: A new approach in fractured-reservoir characterization which uses artificial intelligence tools is described in this paper, based on the assumption that there is a complex relationship between a large number of potential geologic drivers and fractures.

TL;DR: Examples of time series demonstrate that the presented RAMPFIT approach is useful for practical applications in geosciences, and that the ramp function may serve well to model climate transitions.

TL;DR: CSpace is a program for the graphical and algebraic analysis of composition relations within chemical systems that is particularly suited to the needs of petrologists but could also prove useful for mineralogists, geochemists and other environmental scientists.

TL;DR: A lowcost intelligent system consisting of three adaptive resonance theory neural networks and a rule-based expert system to consistently and objectively identify lithofacies from well-log data to infer facies of the rocks is presented.

TL;DR: This paper showed that computer-based exercises can positively impact the higher-order cognitive skills of some students, however, a given exercise will not impact all students equally, which suggests that further work is needed to understand how and why CAI software is more or less effective within a given population.

TL;DR: EZ-ROSE is a computer program for the statistical analysis of populations of two-dimensional vectorial data and their presentation in equal-area rose diagrams that offers the ability to use an equal- area scale in rose diagrams and the wide range of tools for a comprehensive statistical analysis.

TL;DR: In this article, the authors evaluated multisensor spaceborne data from Landsat Thematic Mapper (TM) and Shuttle Imaging Radar (SIR-C) for East African landscapes including settlements, natural vegetation, and agriculture.

TL;DR: This article examines how visualization systems can be used with and integrated into GIS, and shows how GIS can provide visualization and animation features for geo objects by embedding the visualization system using object-oriented techniques.

TL;DR: In this paper, a technique to produce spatially distributed fields of geometric alignment between topography and the orientation of geologic bedding planes (topographic/bedding-plane intersection angle) is presented.

TL;DR: In this paper, the density analysis of lineaments is done by creating a network of square cells, and counting the number of lines that are contained within each cell, that have one of their ends within the cell or that cross-cut the cell boundary.

TL;DR: This work proposes a concept that allows people to visualize their ideas, problems, or instructions during the initial phase of an interaction with a computer by augmenting traditional interaction modalities with sketching, gesturing and talking, and suggests that computers become actively involved in the process of problem formulation.

TL;DR: HyperGroups, a communication tool that was developed at the University of Houston, allows students and faculty to seamlessly participate in course-related discussions and easily share multimedia resources.

TL;DR: The approach for visual analysis of complicated environmental phenomena implemented in the system ViNeu is described, which provides many visualization methods for rendering multidimensional data within virtual 3D scenes and combines them with several navigation techniques.

TL;DR: In this article, geostatistical techniques are used to evaluate spatial characteristics of vegetation communities mapped within a portion of the Mojave Desert, California, using nugget, range and sill parameters of spherical model variograms.

TL;DR: The chapter provides insights into rethinking of the data, information, and knowledge and reengineering of the system, design, user interface, and repositories and provides an introduction for the serious student or the dedicated professional.

TL;DR: A simple, region-based, reflexive-mapping procedure that operates at the parcel level is developed, successful at removing much of the structural clutter, and performs well in comparison with traditional majority filtering; however, the inference of urban land use from the resulting data remains problematic.

TL;DR: This integration and visualization study shows that complex fold geometries can be more rigorously constructed using constraining structural field data, but that current 3-D technologies are still very cumbersome for hard rock applications.

TL;DR: This work describes current activities aimed at the realization of real time online field based GIS, including efforts to realize an online GIS data link to improve the efficiency and the quality of fieldwork.

TL;DR: The main objective of this project is to serve gigabytes of data using limited online disk space, used to store the most-recently-requested data units, and a large tape robot for the offline storage of all the data in the central database.

TL;DR: In this paper, a neural network was used as a multivariate correlative tool to learn the non-linear relationships between multiple input and output variables, which can be used for reservoir characterization.

TL;DR: Rubber sheeting as mentioned in this paper is based on a non-rectangular bilinear interpolation over the entire area of the map and determines systematic and random corrections, and subdivides the maps into separate influencing zones as a function of map perimeter's shape.

TL;DR: In this article, a simple interface between two open-source software systems, the GRASS geographical information system, and the R statistical data analysis language is presented, allowing floating point and category data to be passed both ways for raster map layers and sites files; NULL raster cells in GRASS interchange with NA (not available) values in R.

TL;DR: Multimedia technology changes the visualization of spatial data, and the media design for visual thinking and visual communication have to regard the media functions which were derived from cognition process and communication purpose.

TL;DR: The results show that the proposed method gives smaller error compared to multiple linear regression and other neural networks (simple committee networks and bootstrap aggregating) and provides valuable information on the reliability of the permeability predictions which is consistent with the geological studies.