CGCS2000板块模型构建

基于中国地壳运动观测网络2001—2010年跨度长达10年的观测数据,采用基准优选、变异点数据分段处理等策略,计算获得ITRF2005框架下高精度速度场。同时针对国际上现有的NNR NUVEL1A、APKIM2005、PB2002等板块模型在中国区域适应性差,基于中国地质构造特性及实际速度场解算结果,构建了中国20个二级板块模型CPM-CGCS2000。采用本文提出的用板块模型参数将站点归算至CGCS2000的方法对板块模型进行外部检核,并用此方法验证所建的二级块体模型,精度可达2～3 cm。与国际上现有比较成熟的速度场模型———ITRF2005、APKIM2005、PB2002、NUVEL1A及国内文献[1—2]的板块模型进行的比较表明,CPM-CGCS2000板块模型实际精度优于目前现有的模型。     

Reflections on Mapping Census 2000

Mapping Census 2000: The Geography of U.S. Diversity is an atlas containing 75 maps and presenting county- and state-level data for Census 2000. Cynthia Brewer and Trudy Suchan rapidly produced the atlas in the Population Division of the U.S. Census Bureau using ArcInfo 8.1 prerelease software. Redistricting data, on which the atlas was based, were released in March 2001 and the full-color atlas went to press in July 2001. It is the first decennial atlas produced by the Census Bureau in 80 years. Race maps in the atlas are designed to present the new Census 2000 data that include counts of people who indicated more than one race. Choropleth classifications are constructed to facilitate comparison among maps in series for all race/ethnicity groups, both large and small. Map series share breaks that are adjusted to include meaningful breaks based on overall U.S. percentages for individual groups. Additional shared meaningful breaks, such as "no change" and "50 percent of the population" also anchor classifications. Maps of prevalent groups and diversity provide syntheses of race/ethnicity data. Maps were evaluated at numerous levels in the Census Bureau, with issues from topic selection to page layout to title wording debated by many people. The essay describes the production processes, agency standards, and cartographic principles that come together to present these new data in an atlas that is a colorful showpiece.     

A review of: “National Transfer Format,Release 1.0, January, 1987.” By THE WORKING PARTY TO PRODUCE NATIONAL STANDARDS FOR THE TRANSFER OF NATIONAL DIGITAL MAP DATA. (Southampton: The NTF Secretariat,Ordnance Survey, 1987. [Pp. 191: appendices and looseleaf annex.]

Metonymically used location names (toponyms) refer to other, related entities and thus possess a meaning different from their literal, geographic sense. Metonymic uses are to be treated differently to improve the performance of geographic information retrieval (GIR). Statistics on toponym senses show that 75.06% of all location names are used in their literal sense, 17.05% are used metonymically, and 7.89% have a mixed sense. This article presents a method for disambiguating location names in texts between literal and metonymic senses, based on shallow features.

The evaluation of this method is two‐fold. First, we use a memory‐based learner (TiMBL) to train a classifier and determine standard evaluation measures such as F‐score and accuracy. The classifier achieved an F‐score of 0.842 and an accuracy of 0.846 for identifying toponym senses in a subset of the CoNLL (Conference on Natural Language Learning) data.

Second, we perform retrieval experiments based on the GeoCLEF data (newspaper article corpus and queries) from 2005 and 2006. We compare searching location names in a database index containing both their literal and metonymic senses with searching in an index containing their literal senses only. Evaluation results indicate that removing metonymic senses from the index yields a higher mean average precision (MAP) for GIR. In total, we observed a significant gain in MAP: an increase from 0.0704 to 0.0715 MAP for the GeoCLEF 2005 data, and an increase from 0.1944 to 0.2100 MAP for the GeoCLEF 2006 data.     

A rough set approach to the discovery of classification rules in spatial data

This paper proposes a novel rough set approach to discover classification rules in real‐valued spatial data in general and remotely sensed data in particular. A knowledge induction process is formulated to select optimal decision rules with a minimal set of features necessary and sufficient for a remote sensing classification task. The approach first converts a real‐valued or integer‐valued decision system into an interval‐valued information system. A knowledge induction procedure is then formulated to discover all classification rules hidden in the information system. Two real‐life applications are made to verify and substantiate the conceptual arguments. It demonstrates that the proposed approach can effectively discover in remotely sensed data the optimal spectral bands and optimal rule set for a classification task. It is also capable of unraveling critical spectral band(s) discerning certain classes. The framework paves the road for data mining in mixed spatial databases consisting of qualitative and quantitative data.     

基于MATLAB平台对V5-2000大地电磁测深仪TBL文件的分析与应用

在大地电磁法勘探中,为了快速从工区项目众多文件中选出与某一特定点位具有重叠采集时间的点位文件,并进行远参考处理或便捷地读取一些实测点位信息,常用的方法是利用SSMT2000处理软件,找出具有重叠采集时间的点位文件和从处理输出结果EDI文件中,逐一读取相应参数。如果采用编程的思想直接从原始TBL参数文件中读取相应参数,便可快速达到此目的。鉴于MATLAB语言最近在地学领域内越来越被广泛使用,这里利用MATLAB平台对V5—2000大地电磁测深仪TBL参数文件进行了分析,并给出相应读取程序,在提取所需信息后可以快速提高此类问题的工作效率。     

Weather radar observations of the Hekla 2000 eruption cloud,Iceland

The Hekla eruption cloud on 26–27 February 2000 was the first volcanic cloud to be continuously and completely monitored advecting above Iceland, using the C-band weather radar near the Keflavík international airport. Real-time radar observations of the onset, advection, and waning of the eruption cloud were studied using time series of PPI (plan-position indicator) radar images, including VMI normal, Echotop, and Cappi level 2 displays. The reflectivity of the entire volcanic cloud ranges from 0 to >60 dBz. The eruption column above the vent is essentially characterised by VMI normal and Cappi level 2 values, >30 dBz, due to the dominant influence of lapilli and ash (tephra) on the overall reflected signal. The cloud generated by the column was advected downwind to the north-northeast. It is characterised by values between 0 and 30 dBz, and the persistence of these reflections likely result from continuing water condensation and freezing on ash particles. Echotop radar images of the eruption onset document a rapid ascent of the plume head with a mean velocity of ~30 to 50 m s^–1, before it reached an altitude of ~11–12 km. The evolution of the reflected cloud was studied from the area change in pixels of its highly reflected portions, >30 dBz, and tied to recorded volcanic tremor amplitudes. The synchronous initial variation of both radar and seismic signals documents the abrupt increase in tephra emission and magma discharge rate from 18:20 to 19:00 UTC on 26 February. From 19:00 the >45 dBz and 30–45 dBz portions of the reflected cloud decrease and disappear at about 7 and 10.5 h, respectively, after the eruption began, indicating the end of the decaying explosive phase. The advection and extent of the reflected eruption cloud were compared with eyewitness accounts of tephra fall onset and the measured mass of tephra deposited on the ground during the first 12 h. Differences in the deposit map and volcanic cloud radar map are due to the fact that the greater part of the deposit originates by fallout off the column margins and from the base of the cloud followed by advection of falling particle in lower level winds.Editorial responsibility: P. Mouginis-Mark     

我国常用大地坐标系与2000中国大地坐标系间的转换

2000中国大地坐标系的启用，对原来所有的测绘成果都将产生直接影响。实现我国常用坐标系的测绘成果和相关产品到2000中国大地坐标系的系统转换，需要研究确定我国常用坐标系与2000中国大地坐标系之间的转换关系。本文对几个坐标转换模型进行了比较，分析了我国常用坐标系与2000中国大地坐标系间的高、中、低三种不同精度的转换关系，统计分析了不同模型的转换精度。     

An improved and extended GPS-derived 3D velocity field of the glacial isostatic adjustment (GIA) in Fennoscandia

We present a new GPS-derived 3D velocity field for the Fennoscandia glacial isostatic adjustment (GIA) area. This new solution is based upon ∼3,000 days of continuous GPS observations obtained from the permanent networks in Fennoscandia. The period encompasses a prolongated phase of stable observation conditions after the northern autumn of 1996. Several significant improvements have led to smaller uncertainties and lower systematic errors in the new solutions compared to our previous results. The GPS satellite elevation cut-off angle was lowered to 10°, we fixed ambiguities to integers where possible, and only a few hardware changes occurred over the entire network. The GAMIT/GLOBK software package was used for the GPS analysis and reference frame realization. Our new results confirmed earlier findings of maximum discrepancies between GIA models and observations in northern Finland. The reason may be related to overestimated ice-sheet thickness and glaciation period in the north. In general, the new solutions are more coherent in the velocity field, as some of the perturbations are now avoided. We compared GPS-derived GIA rates with sea-level rates from tide-gauge observations, repeated precise leveling, and with GIA model computations, which showed consistency.     

天文大地网与GPS2000网联合平差数据处理方法

介绍了天文大地网与GPS2000网联合平差数据处理中的主要数学模型、大规模稀疏矩阵的有效解算方法，用Helmert方差分量估计算法进行地面网的方差分量估计，并用该方法对我国天文大地网的观测数据及空间网数据进行联合平差，得出全网平均点位的点位中误差为o．11m，点位精度95．5％优于0．3m。