利用ARC/INFO进行三维地形模型的建立、处理和动态模拟

介绍了利用 ARC/ INFO建立三维地形模型的方法 ,以及利用其新版本的部分新功能处理三维地形模型、进行动态模拟的方法 ,与以往处理三维模型必须借助外部三维图形开发软件包的方法相比 ,具有高速、灵活、可视性强、支持强大分析功能等优点。形成的三维模型可随时与 ARC/ INFO的其它数据模型交换信息 ,与外部进程实时通讯 ,为使用者提供了二维分析工具所不能提供的信息 ,为开发视景仿真系统等与表面分析、立体显示有关的应用系统提供了强有力的支持。     

Motion of animated streamlets appears to surpass their graphical alterations in human visual detection of vector field maxima

ABSTRACT

Animations have become a frequently utilized illustration technique on maps but changes in their graphical loading remain understudied in empirical geovisualization and cartographic research. Animated streamlets have gained attention as an illustrative animation technique and have become popular on widely viewed maps. We conducted an experiment to investigate how altering four major animation parameters of animated streamlets affects people’s reading performance of field maxima on vector fields. The study involved 73 participants who performed reaction-time tasks on pointing maxima on vector field stimuli. Reaction times and correctness of answers changed surprisingly little between visually different animations, with only a few occasional statistical significances. The results suggest that motion of animated streamlets is such a strong visual cue that altering graphical parameters makes only little difference when searching for the maxima. This leads to the conclusion that, for this kind of a task, animated streamlets on maps can be designed relatively freely in graphical terms and their style fitted to other contents of the map. In the broader visual and geovisual analytics context, the results can lead to more generally hypothesizing that graphical loading of animations with continuous motion flux could be altered without severely affecting their communicative power.     

Marine Geodesy (1975–1979)— to the International Association of Geodesy,Section 1

Abstract

Geographic Information Systems (GIS) have been developed during the last decade. Their land‐based applications range from land information management, urban planning, and environmental research to engineering design and management in the utility and oil industries, geological subsurface analysis, and others. However, applications of GIS in the marine environment are still in the initial stages. This may be due to, among other things, the large marine data sets, the demands of 3D data processing, and the difficulty of ocean data acquisition.

This article presents the result of the development of an integrated Marine Geographic Information System (MGIS) for the exploration and development of the Exclusive Economic Zone (EEZ) in the U.S. Pacific Islands region by the Pacific Mapping Center, University of Hawaii. Features such as spatial marine data processing, integration of GIS and mapping systems, 3D data structures, and simulation and animation of marine operations are developed and applied in this system. Since MGIS applications in EEZ are related to many disciplines in marine sciences and engineering, an operational MGIS should be an integrated system in which both basic GIS and marine application systems are combined into a single geo‐referenced system, In addition to other applications, this MGIS has been used: (1) to select a potential deep‐water research site off the island of Hawaii for the State of Hawaii Department of Business, Economic, and Development (DBED); (2) to generate a three‐dimensional database and use it for the navigation and simulation of underwater operations of an underwater research vehicle; and (3) to produce two 2° × 2° mosaic sheets of sonar images, which meet the USGS standard for a sonar image atlas.     

Space-time visualization and analysis in the Cancer Atlas Viewer

This article describes the Cancer Atlas Viewer: free, downloadable software for the exploration of United States cancer mortality data. We demonstrate the software by exploring spatio-temporal patterns in colon cancer mortality rates for African-American and white females and males in the southeastern United States over the period 1970–1995. We compare the results of two cluster statistics: the local Moran and the local G*, through time. Overall, the two statistics reach similar conclusions for most locations. Where they disagree reveals functional differences in the kinds of local spatial variation to which the statistics are sensitive and identifies some interesting patterns in the data. There are only two persistent clusters of colon cancer mortality through time, and these are clusters of low values.This project was funded by grant CA92669 from the National Cancer Institute to BioMedware, Inc. The perspectives stated in this article are those of the authors and do not necessarily represent the official views of the National Cancer Institute. Constructive criticism from Heidi Durbeck of BioMedware, Peter Rogerson of SUNY-Buffalo, and three anonymous reviewers helped us improve the interpretation and presentation of these results.     

Complexity reduction in choropleth map animations by autocorrelation weighted generalization of time-series data

Choropleth map animation is widely used to show the development of spatial processes over time. Although animation congruently depicts change, the rapid succession of complex map scenes easily exceeds the human cognitive capacity, causing map users to miss important information. Hence, a reduction of the visual complexity of map animations is desirable. This article builds on research related to complexity reduction of static choropleth maps. It proposes value generalization of choropleth time-series data in space and time, by using a method that adapts to the degree of global spatiotemporal autocorrelation within the dataset. A combination with upstream algorithms for local outlier detection results in less complex map animations focusing on large-scale patterns while still preserving significant local deviations in space and time. An according software application allows for in-depth exploration of the spatial and temporal autocorrelation structures in time-series data and provides control over the whole process of generalization.