地学数据库已得到广泛应用。
面状数据是最常见的地学数据之一，其应用十分广泛。
Area data is one of familiar geography data, and it has highly extensive application.
矢量和栅格是GIS应用中两种基本的地学数据格式。
Vector and raster are two basic formats of geospatial data used in GIS.
地学数据种类极为繁多，它既包括定量信息，也包括定性信息。
Geoscientific data is extremely diverse and includes both quantitative and qualitative information.
本文阐述了遥感、物探、地质等多地学数据的综合应用技术和方法。
A comprehensive application technology and method for various geo-scientific data like remote sensing, geo-physics, geology, etc. were discussed in this paper.
快速准确有效的数据处理方法是日益增长的地学数据为成矿预测工作提出的迫切要求。
Facing increasing data, more demands for fast accurate and effective data analysis method is made to ore prediction.
虚拟现实技术在创建和体验虚拟世界中的优势可以弥补地理信息系统对地学数据的感知和体验上的不足。
Virtual Reality has the advantage of apperceiving and experiencing geographic data, which makes up the deficiency of GIS.
然而，地学数据显著的空间特征和复杂的结构属性又不能简单运用常规的数据库管理系统进行表述、处理。
But it is very difficult to use common data-management technique based on relation database to the geological data because of their distinct spatial features and complex configurations.
整个构建过程是对大量的地学数据及模型进行虚拟仿真，让人们对各种数据综合及模型产生一个全新的认识。
The whole modeling process will visualize data and model to help users get a new viewpoint to understand synthesizing of various data and model building.
然后，利用图像化的地层、重力、化探、线环构造和遥感影像数据进行RGB合成，通过HIS变换进行多源地学数据融合。
These image data and remote sensing image can be integrated in RGB form and then be transformed into HIS to merge the geological data.
在计算机辅助下，通过野外观测路线的调查，对地质、地理、地球物理、地球化学和遥感等多源地学数据进行综合分析和地质制图。
With the assistance of computer, we can synthetically analyze multi-source geological data of geology, geography, geophysics, geochemistry and remote sensing from field geological observations.
重点将是视觉数据的表示方法，而不是走马观花地学习技术。
The central focus will be on representation of visual data, rather than on fancy learning techniques.
本文介绍了地学空间数据迭代聚类的算法原理。
This paper presents algorithmic principles for approaching clustering of geo-spatial data.
所处理的数据涉及遥感、地质、地球物理、地球化学和地理等学科的多源地学信息。
The data processed are involved with multi-geoscience information such as remote sensing, geology, geophysics, geochemistry and geography.
因此，今天是2008年的第一天，同时也是我结束数据工作的时刻，我可以下定决心专注地学习解剖了。
So today was the first day of 2008, and also the end of my Non-digital-period, which i decided on to be able to focus on studying anatomy.
GIS以其非凡的数据管理能力、空间分析能力和强大的可视化功能，为地学研究领域提供了全新的表达语言和思想工具。
GIS provides new expressing languages and thinking tools for the geological field by its remarkable abilities of managed-data, analyzed-space, and mighty function of visualization.
两个重要地区的平均剪应力值分布图，提供了地学的基本数据。
The distribution of average stress value for the two important regions provides basic data for Geology.
如何管理、分析这些庞大的数据，从中提取有用信息，是地学工作的一个新的研究方向。
How to manage and analyze these gigantic data and extract the useful information from it, has been a new research direction of geoscience.
顾及地形特征线的散点域(约束数据域)三角剖分是建立高精度数字地面模型的基础，在GIS、地学分析、计算几何、多分辨率DTM等领域中有着广泛的应用。
The triangulation of constrained data set is widely used in Geographic Information System (GIS), geo-science, computational geometry, multi-resolution and high precision DTM, et al.
通过实例研究表明：基于多时相遥感数据，利用地学信息图谱研究煤矿区LUCC是一种先进可行的技术途径。
The case study indicates that using Geo-information Tupu to study LUCC of coal mining area could be a advanced and feasible technique approach.
该模型以地学图形数据库与属形数据文件关联共存的方式，解决了地图要素的计算机压缩存贮与分析处理问题。
The models solve the problems of computer compressing store and analysis and processing for map elements, with relationship and coexistence of geo graphics database and geo attribute data files.
介绍了地学图形数据的四叉树编码数据结构。
This paper presents the data structure of quadtree coding for geo graphics data.
数字地形模型(DEM)包含着丰富的地形、地貌及相关的地学信息与知识，是GIS数字地形分析的数据基础。
As the data base of the GIS digital terrain analysis, digital Elevation Model (DEM) contains rich of terrain, topography and related geo-information and knowledge.
地学（空间）数据模型的研究能为地质科学数据的共同理解提供基础。
The Research of GeoScience Spatial Data Model can offer the base of comprehension for GeoScience Data.
通过两种数据结构之间的联系，实现了地学图形数据和属性数据之间的互访和操作。
Also, the system realizes mutual visits and operations between geo graphics data and attribute ones by the relationship between the two mathematics structures.
利用GIS技术综合多源地学空间信息，应用于区域地质调查的重要方面——野外空间数据采集。
The advantage of GIS technology in combining multi sources geoscience information is used in the important aspect of regional geological survey field spatial data collection.
遥感与地学之间存在着数据与知识上巨大的互补性。
Great complementarity exists between remote sensing image data and geographical knowledge.
采用GPS与VLBI的组合观测数据，建立了完全基于空间技术的现时板块运动模型，与地学模型NUVEL1A进行了对比，检测了地球七大板块最近几百万年的运动趋势。
Adopting the combination data of GPS and VLBI this paper founds a current plate motion model based up completely on space techniques. The geological model NUVEL1A is compared with the current model.
在地学领域中，寻求一种更适合的数据模型已成为一种必然，面向对象的数字地质图数据模型的提出正是迎合了这一需求而产生的。
In the geology field, seeking a good data model for geo-data management become a hot issue to study for gis experts and geologists. Object-oriented digital geologic map data just cater to this demand.
介绍了在已建成的地学空间数据库中应用GIS技术实现自动化采样的关键问题。
The key to automatically sampling for geoscience data base by GIS technique is detailed.
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