Geobotanical forecasting in the nature management ecological optimization in Baikalian Siberia

An analysis is made of the geobotanical forecasting technique. Mapping is known to be recognized as the most powerful method of forecasting-geobotanical investigations. A close interrelation between geobotanical forecasting and vegetation mapping is demonstrated. To improve objectivity of the findings used cartographic models of modern and predicted vegetation which most fully represent the entire structuralcenotic diversity of plant communities in Prebaikalia, the central region of Baikalian Siberia. The predictive constructions are based on analyzing modern vegetation which always includes structural features of its future that manifest themselves in primary and stable derivative communities. We developed the legend and compiled the map (sc 1:200 000) of the region’s modern vegetation. The state of the natural environment of the Lena- Angara interfluve is assessed having regard to the various functions of plant communities in geosystems. The 1:200 000 map of probability-forecasted (within 200 years) vegetation is presented for Lena-Angara interfluve. It is shown that complete recovery of the primary structure will not occur within 200 years. It is found that it is necessary to carry out predictive-cartographic investigations for the whole of Baikalian Siberia as vegetation of this region is characterized by a decreased activity of recovery processes occurring under the influence of anthropogenic factors. The reason has to do with the harsh natural conditions where it is not worthwhile to pursue extensive nature management, such as is universally the case to date, leading to undesirable economic consequences, because the degree of disturbance to vegetation in a number of areas of Prebaikalia has now reached as critical level. It is concluded that a further policy of nature management on this territory must be built upon the new principles to be approved by government documents.     

Some aspects of ecological risks of nature management in southern Baikalian Siberia

The diverse environment-protective role of vegetation is highlighted in the context of economic development of southern territories of Baikalian Siberia. Results from geobotanical forecasting for the purpose of minimizing ecological risks of nature management are presented.     

Development of the Geosystem Mapping Methodology

The formative stages of the geosystem mapping methodology are outlined. It is determined that the early stages of geosystem mapping showed a continuity of the ideas of geobotanical mapping: concerning the hierarchical structure of the phytosphere, and the invariant and the variable states of plant communities. It was found that geosystem mapping involves integrating the facies according to structural and structural-dynamic indicators differing from a traditional typization. Data were generalized having regard to the assignment of the facies to a particular landscape area. Use was made of the facies categories of optimal, limited and reduced development caused by a difference in their structure and biotic productivity. It was determined that a next mapping stage implied identifying the dynamic categories and geosystem state variables associated with one primary geomer regarded as the parent core. The map legend was based on the characteristics of the relief and vegetation. The absence of other indicators has limited the possibilities of using the map to solve forecasting problems. It was established that at present, given a significant body of landscape data, there is almost no research devoted to the cartographic solution of the problem of assessing changes in the natural environment. There is a need for mapping of the structural, dynamic and genetic uniqueness of geosystems and to explain their diagnostic features in all crucial components. We determined that the current stage of mapping should be focused on solving the problem of geographic map-based forecasting. For solving the forecast issues, we identified the features of structural-dynamic and evolutionary transformations of geosystems, their stability, and the direction of transformation under the influence of various factors. The methodology and stages of geosystem mapping are suggested.     

Vegetation stability in the system of geobotanical forecasting

Presented are the results of cartographic-prognostic investigations into vegetation by considering an example of the key area on the Lena-Angara interfluve. We examine a variety of aspects of vegetation stability for the case of geobotanical forecasting. Maps of modern and potential (regenerated) vegetation were used to compile the map of pyrogenic stability of vegetation. The map of potential vegetation with a forecast interval of 200 years was developed.     

Cartographic assessment of the present status of vegetation in Prebaikalia for water use optimization

We bring up the issue related to the need and importance of undertaking an assessment of the present status of vegetation in Prebaikalia. The vegetation of this region has long been experiencing strong anthropogenic destructions, especially in the southern, more developed, areas. Anthropogenic impacts on vegetation continue to be enhanced thus influencing the processes of spontaneous development of vegetation and decreasing its ecological potential. Assessment of the present status of vegetation as a complex self-evolving autotrophic natural entity having its own evolutionary history of development and dynamical potential is used in reference to identifying and evaluating the degree of disturbance of its native (spontaneous) florocenotic structure. To improve objectivity of research results uses a cartographic method supported by GIS technologies. On the basis of the principles of a structural-dynamical classification of plant communities as suggested by V. B. Sochava, we compiled a universal geobotanical medium-scale (1:500 000) map for Prebaikalia. The map was generated for two purposes: inventory, i.e. identifying the typological belonging of existing plant communities in the region, and for assessment–dynamical purpose to identify the epitaxon structure of the entire vegetation cover. These efforts were accompanied by a formalized assessment of the age structure of tree stands of the region’s forest communities as well as a clear differentiation between forest and non-forest vegetation by identifying new burns and felling areas. The findings formed the basis for generating a detailed 1:500 000 map of disturbances to Prebaikalia’s vegetation displaying 11 kinds of vegetation disturbances ranging from the persisting native communities to those substituted by agrocenoses and introductions of urban settlements. A general outline of the present status of vegetation is provided as well as the main directions for nature management optimization in the region within the framework of the state ecological policy.     

地图可视化研究

建立在计算机技术基础上的地图可视化是现代地图学的核心内容之一。文章从分析地图可视化的含义出发,提出了地图可视化研究的一个基本框架,同时简要分析了地图可视化的特点。认为地图可视化的主要研究领域有:可视化变量研究、可视化分类研究、时空数据结构研究、视觉感受与视觉效果研究、虚拟现实研究、空间认知与信息传输研究等 6个方面。最后,就北京地区地形三维可视化实践作了简单介绍。     

Cartographic Visualization: An Assessment and Epistemological Review*

This article examines the concept of cartographic visualization. The value of cartographic visualization as an essential component in the study of geographic phenomena is discussed. Ontological and epistemological perspectives are addressed, with examinations of positivist, realist, postmodern, feminist, and anarchist approaches to visualization. Critiques of cartographic visualization from social theorists and quantitative positivists are presented. The author asserts that cartographic visualization is not restricted to any one particular epistemological framework but may combine methods of knowledge production. For comprehensive analysis of spatial data, cartographic visualization must be included along with other qualitative and quantitative analysis.     

Qualitative Methods for Research on Mapmaking and Map Use

Contemporary cartographic research on mapmaking and map use has a broad mandate and, as a consequence, researchers need a broad suite of methods. Consistent with research developments in other geographic subdisciplines, cartographic researchers now use qualitative methods. They offer the advantage of bringing research closer to the problem‐solving realms of mapmakers and map users. Our purpose here is to discuss an array of qualitative methods for mapmaking and map use. Questionnaires, interviews, and protocol methods are used to gather verbal data about mapmaking and map use. Ethnographies produce data from direct observation of mapmakers and users. Maps also are sources for document analysis. We use examples of published cartographic research to elaborate on each of these methods.     

A Review of “Geographies of Media and Communication”

Contemporary cartographic research on mapmaking and map use has a broad mandate and, as a consequence, researchers need a broad suite of methods. Consistent with research developments in other geographic subdisciplines, cartographic researchers now use qualitative methods. They offer the advantage of bringing research closer to the problem-solving realms of mapmakers and map users. Our purpose here is to discuss an array of qualitative methods for mapmaking and map use. Questionnaires, interviews, and protocol methods are used to gather verbal data about mapmaking and map use. Ethnographies produce data from direct observation of mapmakers and users. Maps also are sources for document analysis. We use examples of published cartographic research to elaborate on each of these methods.     

Classification and Application of Cartographic Animation

The development of a definition and classification scheme for cartographic animation is now warranted, since focus on the visualization method increased during the 1990s. This article offers a comprehensive definition of animation, distinguishing between animation, slide shows, multimedia, and hypermedia. In addition, a classification system identifies and offers specific characteristics for four different methods or types of cartographic animation: time, areal, thematic, and process.     

AN EVALUATION OF SAS/GRAPH SOFTWARE FOR COMPUTER CARTOGRAPHY1

The SAS® computer software system, widely used and respected for its capabilities in statistical analysis and data base management, now includes a new set of graphic and cartographic procedures called SAS GRAPH?. We have used these cartographic procedures in research on mapping ethno-cultural census data from metropolitan areas in Ontario and in undergraduate and graduate courses in computer cartography. On the basis of that experience, we describe and evaluate SAS/GRAPH'S cartographic capabilities and illustrate with maps drawn by various devices.     

The impact of geographical information systems on the role of spatial data libraries

Abstract

The proliferation of digital cartographic and geographic information technologies has provided an obvious alternative to paper for the storage of maps. Not unlike their paper predecessors, digital maps must be indexed to provide sufficient access points to information and to allow the librarian carto-bibliographic control over the collection. Maps have traditionally been treated as ‘unusual’ books and librarians have relied primarily on cataloguing strategies designed for books. Most automated cataloguing efforts involve nothing more than the computerization of card catalogues without altering the nature and design of the task. This paper examines the utilities and unique qualities of cartographic materials and accounts for deficiencies of traditional cataloguing methods for the handling of both analogue and digital cartographic products. In view of the increased availability of digital cartographic databases, this paper also evaluates requirements and presents issues beyond the conventional responsibilities of spatial data librarianship.     

地图符号的语言学机制及其应用研究

分析并总结地图语言学在GIS技术影响下的发展、变化;通过分析当今地图语言的新特点,阐述地图符号的定义;从语言学角度分析地图符号的语言学机制并提出地图符号的语义概念模型。最后简述该模型在地图符号软件中的应用。     

Anthropogenic disturbance to vegetation on the polygon-transect in the Kulikalon depression (Tajikistan)

Investigations into the vegetation cover on the polygon-transect in the Kulikalon depression (Tajikistan) revealed the influence of anthropogenic pressure on the ecosystem of archovniks (juniper forests). Archovniks constitute the main landscape component of the Zarafshan geobotanical region. Only small areas occupied by them are not disturbed by human economic activity on the territory of the Kulikalon depression.     

A Method for Assessing the Planimetric Accuracy of Historical Maps: The Case of the Colorado-Green River System*

The position of linear elements on historical maps can be digitized and numerically compared with similar features on modern maps. This allows for the evaluation of amounts and rates of improvement in cartographic accuracy and of the primary sources used for the generation of subsequent maps. A case study of the Colorado-Green River system illustrates the method and documents the pace of improvement in the cartographic depiction of the river system as a function primarily of the historical pressures of westward expansion.     

Supercapitalism: The Transformation of Business,Democracy, and Everyday Life

While linguistic diversity is an integral component of cultural landscapes, the spatial depiction of languages fails to represent all community members. Language is difficult to map and established guidelines are lacking. The perception of power conveyed is arguably the most meaningful design issue in language mapping, as most language maps inaccurately show one language per place. This research examines the cartographic visualization of linguistic diversity, contributing to our understanding of the perception of power through cartographic decisions, with the application of a linguistic diversity index. The resulting maps serve as new figures for linguistic diversity lessons in educational contexts.     

A Review of: “Applications of Spatial Data Structures: Computer Graphics,Image Processing,and GIS”. By H. SAMET. (Addison-Wesley Publishing Company,Inc, 1989.) [Pp. xv + 507; figures,tables, appendix,references, name and credit index,subject index.] Price US $49.95. ISBN 020150300 X (hardback).

The introduction of automated generalisation procedures in map production systems requires that generalisation systems are capable of processing large amounts of map data in acceptable time and that cartographic quality is similar to traditional map products. With respect to these requirements, we examine two complementary approaches that should improve generalisation systems currently in use by national topographic mapping agencies. Our focus is particularly on self‐evaluating systems, taking as an example those systems that build on the multi‐agent paradigm. The first approach aims to improve the cartographic quality by utilising cartographic expert knowledge relating to spatial context. More specifically, we introduce expert rules for the selection of generalisation operations based on a classification of buildings into five urban structure types, including inner city, urban, suburban, rural, and industrial and commercial areas. The second approach aims to utilise machine learning techniques to extract heuristics that allow us to reduce the search space and hence the time in which a good cartographical solution is reached. Both approaches are tested individually and in combination for the generalisation of buildings from map scale 1:5000 to the target map scale of 1:25 000. Our experiments show improvements in terms of efficiency and effectiveness. We provide evidence that both approaches complement each other and that a combination of expert and machine learnt rules give better results than the individual approaches. Both approaches are sufficiently general to be applicable to other forms of self‐evaluating, constraint‐based systems than multi‐agent systems, and to other feature classes than buildings. Problems have been identified resulting from difficulties to formalise cartographic quality by means of constraints for the control of the generalisation process.     

Fundamental operations in computer-assisted map analysis

Abstract

Geographical information systems (GIS) provide capabilities for the mapping, management and analysis of cartographic information. Unlike most other disciplines, GIS technology was born from specialized applications. A comprehensive theory relating the various techniques used in these applications is only now emerging. By organizing the set of analytic methods into a mathematical structure, a generalized framework for cartographic modelling is developed. Within this framework, users logically order primitive operators on map variables in a manner analogous to traditional algebra and statistics. This paper describes the fundamental classes of operations used in computer-assisted map analysis. Several of the procedures are demonstrated using a fourth-generation computer language for personal computers.