基于天地图的大美青海地图网研究与实现

本文以青海省现阶段旅游业快速发展对旅游地图的需求凸显为出发点,提出通过调用天地图提供的在线地理信息服务为青海省旅游业搭建一个基于地图的旅游门户网站系统,同时结合虚拟技术打造青海省虚拟旅游系统,在完成各类数据整合建库、空间定位、查询检索以及多样表达外,将基于地图并结合青海本地景点分布及路况信息的旅游线路展示,结合地域特色、多民族活动以及地方赛事等的地图故事专题模块,720全景虚拟旅游进行有效集成,进一步提高大美青海地图网的服务深度及广度.

湖北地图网建设与研究

湖北地图网作为湖北省公共地图服务平台(公众版)对原湖北省动态电子地图网进行了升级和功能扩展。主要从系统功能、体系结构和关键技术对湖北地图网的建设与研究进行了介绍,并对湖北地图网的现状和未来发展前景进行了分析和总结。

河南地图网系统建设与设计

河南地图网是数字河南建设的重要组成部分,在现有的技术条件、网络环境、数据资源和政策框架下,河南地图网为各级政府门户网站提供了权威的地图频道;为广大人民提供了信息风向标。本文主要针对网站设计和建设中所采用的新技术及新方法做了简单的论述,总结了地图网的数据组织、处理及发布经验。同时也为其他地图网站建设提供宝贵的经验。

山西地图网开通试运行

经过近一年的策划，山西地图网（http：／www．sxmap．com．cn）正式开通试运行。该网站是山西省测绘行业惟一的专业地图服务门户网站，由山西省测绘局主管，山西省地图集编纂委员会办公室、山西省测绘学会地图编制专业委员会联合主办。网站以地图服务为主，由地图政务信息和地图公众服务两大部分组成，设有地图服务、数字山西、地图论坛等10个栏目。

论山西地图网改建总体设计

山西地图网(www.sxmap.com.cn)是山西地图院发布信息、宣传地图作品、反映测绘动态、服务各级政府以及社会公众的重要窗口,在新的形势下,随着社会信息化的发展,网站原有内容、表现形式、功能、服务效率,已渐渐不能满足各级政府和社会公众对在线地图服务日益增长的需求,为了进一步推动地理信息资源社会化服务,加强地图网站的综合服务功能,需对山西地图网进行改版升级。

电子地图e彩纷呈

电子地图在信息浪潮的冲击下应运而生,正在为人类架构美妙的“精神乐园”。随着电脑和网络的普及，文化的传播交流变得如电光火石般迅捷，文化资源的获取共享在瞬间即可实现。电子地图正如春风细雨般向我国国民经济的方方面面渗透，日益发挥出其在科学管理和社会生活等方面所特有的强劲的辅助功能。电子地图的冲击波正酝酿着一场划时代的地图的“革命”。

6月发布现场

索爱打出2007新王牌索尼爱立信2007中国战略峰会上,索尼爱立信宣布全面控股北京索鸿电子股份有限公司,并在北京增设入门级手机产品事业部研发小组,建立亚洲数据中心,同时进一步发展全球软件测试中心和创意设计中心中国分部。并发布五款2007年最重要的新品。

Implementation of OGC Web Map Service Based on Web Service

OGC Web Map Service is one kind of OGC Portrayal Services belongs to OGC Web Service model and it provides multi\|platform interoperability of spatial data set. This paper presents a method for implementing OGC Web Map Service based on Web Service technique and introduces the detailed process.

Wavelet neural network based watermarking technology of 2D vector maps

A novel lossless information hiding algorithm based on wavelet neural network for digital vector maps is introduced. Wavelet coefficients being manipulated are embedded into a vector map, which could be restored by adjusting the weights of neurons in the designed neural network. When extracting the watermark extraction, those coefficients would be extracted by wavelet decomposition. With the trained multilayer feed forward neural network, the watermark would be obtained finally by measuring the weights of neurons. Experimental results show that the average error coding rate is only 6% for the proposed scheme and compared with other classical algorithms on the same tests, it is indicated that the proposed algorithm hashigher robustness, better invisibility and less loss on precision.

Schematic Road Network Map Progressive Generalization Based on Multiple Constraints

Multiple constraints for schematic road network map cartographic design are analyzed and summarized. Based on this, a set of quantitative criteria are set up and a new road network generalization method including progressive selection and displacement is proposed. Furthermore, topological checking methods for road networks are researched. Based on these constraints, the points in a road network are classified, and a satisfactory and effective schematic map is designed in a con- crete experiment while maintaining topological consistency of the road network between the original and the schematic map

A novel vehicle navigation map matching algorithm based on fuzzy logic and its application

A new real-time map matching algorithm based on fuzzy logic is proposed. 3 main factors affecting the reliability of map matching, including the distance between the vehicle location and the matching road segment, the angle between the vehicle direction and the road segment direction and the road connectivity are discussed. Fuzzy rules for the distance, angle and connectivity are presented to calculate the matching reliability. 2 indicators for estimating the matching reliability are then derived, one is the lower limit of the reliability, and the other is the limit error of the difference between the maximal value and the second-maximal value of the reliability. A real-time map-matching system based on fuzzy logic is therefore developed. Using the real data of global positioning system(GIS) based navigation and geographic information system(GPS) based road map, the method is verified and the (results) prove the effectiveness of the proposed method.

The Study of Extracting River Nets Based on Intelligence Ant Colony Algorithm on MODIS Remote Sensing Images

How to extract river nets effectively is of great significance for water resources investigation,flood forecasting and environmental monitoring,etc.In the paper,combining with ant colony algorithm,a new approach of extracting river nets on moderate-resolution imaging spectroradiometer(MODIS)remote sensing images was proposed through analyzing two general extraction methods of river nets.The experiment results show that river nets can be optimized by ant colony algorithm efficiently,and difference ratio between the experimental vectorgraph and the data of National Fundamental Geographic Information System is down to 8.7%.The proposed algorithm can work for extracting river nets on MODIS remote sensing images effectively.

Design and implementation of web fast sharing platform of massive geological map

It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map. Along with the network,the development of communication and computer technology,especially with the Web2.0 technology arisen,provides opportunities to the web for sharing of geological maps. Web fast sharing platform of massive geological maps( WSPGM) is based on the Flex technology development,using B/S architecture,with map navigation,search,display,security and other functions of the software system. Through the map pretreatment and asynchronous communication the system can display any size of geological map,and through the range limits,rights management,sharing system and watermark logo to take effective security on geological map. On the basis of this system,with the Jilin University web sharing system of geological map,the system can greatly improve the efficiency of using geological map. for research.

An MAC Layer Aware Pseudonym (MAP) Scheme for the Software Defined Internet of Vehicles

This paper proposes a cross-layer design to enhance the location privacy under a coordinated medium access control(MAC) protocol for the Internet of Vehicles(Io V). The channel and pseudonym resources are both essential for transmission efficiency and privacy preservation in the Io V. Nevertheless, the MAC protocol and pseudonym scheme are usually studied separately, in which a new MAC layer semantic linking attack could be carried out by analyzing the vehicles' transmission patterns even if they change pseudonyms simultaneously. This paper presents a hierarchical architecture named as the software defined Internet of Vehicles(SDIV). Facilitated by the architecture, a MAC layer aware pseudonym(MAP) scheme is proposed to resist the new attack. In the MAP, RSU clouds coordinate vehicles to change their transmission slots and pseudonyms simultaneously in the mix-zones by measuring the privacy level quantitatively. Security analysis and extensive simulations are conducted to show that the scheme provides reliable safety message broadcasting, improves the location privacy and network throughput in the Io V.

Teaching tools in the web dealing with prevention of cancer

Teaching tools available on the internet presented in this paper may help the students in the study of cancer prevention to understand the consequences of lifestyle on health.They are all in English,they have been downloaded for free and consist mainly in scientific texts and other documents,tables,graphics,atlases and animations.

An Improved Method for Modeling Spatial Distribution of δD in Surface Snow over Antarctic Ice Sheet

Using the recent compilation of the isotopic composition data of surface snow of Antarctic ice sheet, we proposed an improved interpolation method of δD, which utilizes geographical factors （i.e., latitude and altitude） as the primary predictors and incorporates inverse distance weighting （IDW） technique. The method was applied to a high-resolution digital elevation model （DEM） to produce a grid map of multi-year mean δD values with lkm spatial resolution for Antarctica. The mean absolute deviation between observed and estimated data in the map is about 5.4‰, and the standard deviation is 9‰. The resulting δD pattern resembles well known characteristics such as the depletion of the heavy isotopes with increasing latitude and distance from coast line, but also reveals the complex topographic effects.

Global Solar Radiation Maps of Saudi Arabia

This paper uses Abductive network to predict global solar radiation in any location in the Kingdom of Saudi Arabia （KSA） based on sunshine duration, month number, latitude, longitude, and altitude of the location. Results indicate good agreement between measured and predicted GSR values for each of the 35 locations with known GSR values. Finally, the data from all available stations are used to train an abductive network to estimate the GSR values anywhere in the Kingdom based on latitude and longitude. GSR values are estimated using the developed method at 25 additional locations throughout the kingdom and used with the measured data from the 35 available measurement stations to draw a comprehensive contour map of GSR values for KSA.

IDE-OTALEX C. The First Crossborder SDI between Portugal and Spain： Background and Development

IDE-OTALEX is the first crossborder spatial data infrastructure between contiguous Portuguese （Alentejo and Centro） and Spanish （Extremadura） regions. It was implemented to share official geographic information from Alentejo and Extremadura, and now Centro region, with everyone. This is the most effective way to have a distributed and flexible system to be used as a territorial observatory for sustainable development and environment protection in these rural and low populated regions. It also contributes to territorial cohesion, one of the tree main pillars of European Cohesion Policy. It＇s characterized for being a distributed, decentralized, modular and collaborative system, based on standards OGC （Open Geospatial Consortium）, W3C （World Wide Web Consortium）, ISO （International Organization for Standardization） and open source technology, developed to guarantee interoperability between the different GIS （Geographic Information System） provided by each project partner. The geoportal is multilingual （Portuguese, Spanish and English） and integrates a Map viewer, Metadata Catalogue and Gazetteer. It consists in central and local nodes which communicate through WMS （Web Map Services）, CSW （Catalogue Service Web） and WFS （Web Feature Services）. It is now implementing SOS （Sensor Observation Services） and WPS （Web Map Processing）. The geographic information available results of an extensive work of data harmonisation adapted to INSPIRE Directive （D 2007/2/EC, the European Parliament and Council, March 14, 2007）. It integrates basic cartography, socio-economic, territorial and environmental indicators.

Equality Testing for Soil Grid Unit Resolutions to Polygon Unit Scales with DNDC Modeling of Regional SOC Pools

Matching soil grid unit resolutions with polygon unit map scales is important to minimize the uncertainty of regional soil organic carbon(SOC) pool simulation due to their strong influences on the modeling.A series of soil grid units at varying cell sizes was derived from soil polygon units at six map scales,namely,1:50 000(C5),1:200 000(D2),1:500 000(P5),1:1 000 000(N1),1:4 000 000(N4) and 1:14 000 000(N14),in the Taihu Region of China.Both soil unit formats were used for regional SOC pool simulation with a De Nitrification-DeC omposition(DNDC) process-based model,which spans the time period from 1982 to 2000 at the six map scales.Four indices,namely,soil type number(STN),area(AREA),average SOC density(ASOCD) and total SOC stocks(SOCS) of surface paddy soils that were simulated by the DNDC,were distinguished from all these soil polygon and grid units.Subjecting to the four index values(IV) from the parent polygon units,the variations in an index value(VIV,%) from the grid units were used to assess its dataset accuracy and redundancy,which reflects the uncertainty in the simulation of SOC pools.Optimal soil grid unit resolutions were generated and suggested for the DNDC simulation of regional SOC pools,matching their respective soil polygon unit map scales.With these optimal raster resolutions,the soil grid units datasets can have the same accuracy as their parent polygon units datasets without any redundancy,when VIV < 1% was assumed to be a criterion for all four indices.A quadratic curve regression model,namely,y = – 0.80 × 10^(–6)x^2 + 0.0228 x + 0.0211(R^2 = 0.9994,P < 0.05),and a power function model R? = 10.394?^(0.2153)(R^2 = 0.9759,P < 0.05) were revealed,which describe the relationship between the optimal soil grid unit resolution(y,km) and soil polygon unit map scale(1:10 000x),the ratio(R?,%) of the optimal soil grid size to average polygon patch size(?,km^2) and the ?,with the highest R^2 among different mathematical regressions,respectively.This knowledge may facilitate the grid partitioning of regions during the investigation and simulation of SOC pool dynamics at a certain map scale,and be referenced to other landscape polygon patches' mesh partition.