Management of Recreational Areas: GIS, Autonomous Agents, and Virtual Reality

10.1068/b2637 ◽  
2000 ◽  
Vol 27 (3) ◽  
pp. 423-435 ◽  
Author(s):  
I D Bishop ◽  
H R Gimblett
Keyword(s):  
Virtual Reality ◽  
Data Storage ◽  
Spatial Data ◽  
Autonomous Agents ◽  
Spatial Information ◽  
Spatial Modelling ◽  
Sufficient Information ◽  
Management Options ◽  
Individual Agent ◽  
Spatial Information Systems

Management of recreational activity in areas that are culturally or ecologically sensitive requires knowledge, and effective management, of recreationists' behaviour. In this paper we explore the role of spatial information systems, spatial modelling, and virtual reality in the analysis and prediction of visitor location and movement patterns. The quantitative modelling of the time spent by visitors on various aspects of the site attractions and of visitor conflict has not been widely attempted, having only recently become possible because of greater computer power, better spatial data storage options, and new modelling paradigms. Rule-driven autonomous agents can be used as surrogates for human visitors. Behavioural rules can be derived and calibrated from visitor surveys. This is, however, an expensive and time-consuming process and testing of people's decisions in a virtual environment may provide sufficient information for rule definition. Once a rule-set is determined, the autonomous agents move over a GIS-based model of the landscape. Rendering algorithms determine what an individual agent is able to “see”. Based on the established rules, this and other factors (such as tiredness) determine behavioural choice. Recording of model runs to file allows managers to undertake additional analysis to quantify and explore the influence of alternative management options on recreationist movement, congestion, and crowding. Through the GIS, impacts such as erosion can also be modelled. In the longer term the combined models can become part of a decision support system for sustainable tourism in fragile environments.

Research on Construction of Visual Platform of Beijing Power Grid Based on Multi-Technology Fusion

2014 ◽  
Vol 608-609 ◽  
pp. 928-932
Author(s):  
Dong Ya Jin
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Power Distribution ◽  
Spatial Information ◽  
Power Transmission ◽  
Power Grid ◽  
Three Dimensional ◽  
Visual Display ◽  
Decision Makers ◽  
Control Measures

The platform uses three-dimensional data modeling, visual simulation and spatial data storage to make the business of regulation center, operation and maintenance center and marketing and management center of Beijing Power grid implement visualized operation, and load the spatial information data, equipment data and operation data of Beijing power grid into the system platform, and the data is displayed with the form of graphic or image, which not only realizes managing space resource data in real three-dimensional scene, but also make the system operator to know the operation state of the system directly, and makes the control measures more effective. And the paper uses virtual reality technology to establish visual scene of ground to realize integrated visual display of power transformation, power transmission and power distribution, which not only makes the producers, managers and decision makers directly master the situation of production line in power station, but also realizes that producers and managers affiliate decision makers to formulate production plan.

scholarly journals Cartographic interpretation of the “meta” notion in the cultural heritage context

2020 ◽  
Vol 26 (4) ◽  
pp. 371-384
Author(s):  
Viktor Chabaniuk ◽  
Kateryna Polyvach
Keyword(s):  
Cultural Heritage ◽  
Spatial Data ◽  
Spatial Information ◽  
Relational Patterns ◽  
Spatial Systems ◽  
Spatial Information Systems ◽  
Sufficient Detail ◽  
Choropleth Maps ◽  
Data Infrastructures ◽  
Epistemological Structure

The monograph [Aslanikashvili, 1974] does not define the term “metacartography”, although the notion itself is described in sufficient detail to be understood. A. Aslanikashvili’s metacartography has proven to be very useful in considering the relations between modern systematic cartographic phenomena, which are often relate to Web 2.0 cartography. The article offers a practical interpretation of the “meta” notion in such phenomena as National Atlases, National Spatial Data Infrastructures and OpenStreetMap. This is done using the Conceptual Frameworks (CoFr) method and the Atlas Extender (AtEx), which allow extending atlases in the classical sense to extended atlas systems. AtEx implements a CoFr method of relational cartography based on patterns (hereinafter RelCa), among which are relational patterns of “meta”. CoFr describe the structure of spatial information systems in an extended sense, and relational cartographies are defined as the coordinated art, science and technology of making and using relations in (extended) cartographic systems and between (extended) cartographic systems. Due to this we can consider relational spaces that have a lot in common with the specific spaces of A. Aslanikashvili. To apply the RelCa methods, the understanding of “metacartography”, “map meta-model” and “map language” notions have been updated. For this purpose, Model-Based Engineering (MBE) has been used, an area of computer science that is evolving in our century. The analogies between BMI constructions, modern systematic cartographic phenomena and A. Aslanikashvili metacartography are shown. It has been proved abductively that in modern conditions the field of cartography research needs to be extended by relational spaces or to a system of spatial systems of a certain epistemological structure. Important in this structuring is the relation of “meta” that A. Aslanikashvili began to explore. The abduction proved the presence and necessity of using the “meta” relation when constructing cultural heritage maps. In particular, the interpretation of the “meta” relation for choropleth maps is proposed, modeling the saturation assessment of the country by the entities of the material cultural heritage. The results obtained will be included in the Atlas of Cultural Heritage of Ukraine.

scholarly journals Properties of cartographic modelling under contemporary definitions of a map

2016 ◽  
Vol 48 (3) ◽  
pp. 91-100 ◽  
Author(s):  
Marek Baranowski ◽  
Dariusz Gotlib ◽  
Robert Olszewski
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Practical Experience ◽  
Spatial Modelling ◽  
Specific Model ◽  
Thought Processes ◽  
Specific Level ◽  
The 1960S ◽  
Geographical Space

Abstract The identity of cartography is determined by the manner of defining and interpreting the concept of “map”. However, the term has not been unequivocally articulated as yet. There are many different definitions of maps available in literature – from those viewing map as a scaled-down, planar, graphic representation of geographical space, to those that equate a map to a specific model that is independent of the form of its presentation. Interestingly enough, the basis of such universal treatment of the map concept can be found already in the scientific works from the 1960s. Although contemporary definitions do not limit a map to a single form of presentation, such over-simplification still persists. The issue has become very relevant given the rapidly increasing number of diverse geospatial applications designed to access spatial data and present it in diverse forms. So far, however, there are no clear rules for categorizing a given representation as cartographic or non-cartographic. And this often gives rise to various misconceptions, e.g. regarding the role and responsibilities of cartography as science and practical activity. According to the authors of the article, a map is an ordered informational structure shaped by the years of practical experience and research in the field of cartography. Map arising in the process of cartographic modelling is understood as one of many possible models of the portrayed space. The model is formed in the course of thought processes, including abstraction and generalization in particular. Creation of the model involves the use of symbolism that can be decoded by the recipient. This does not mean, however, that the process of symbolization is limited exclusively to graphical representations. Map is also a tool for presenting spatial information in a visual, digital or tactile way. Therefore, the essence of map is determined by its “model” nature rather than the format of the cartographic message. The authors have assumed that map is formed in the process of cartographic modelling and certain properties of the process can be defined, that distinguish it from other methods of spatial modelling. The properties recognized as characteristic for cartographic modelling include space portraying that enables identification of types of objects and phenomena, describing spatial relationships between objects, as well as their positioning in the applied reference system. In the authors’ opinion, properties of cartographic modelling include also the intentional application of a specific level of generalization determined by the objective of the map, aware authorship of the message, unambiguity of communication and symbolization based on knowledge. The proposed approach should facilitate the classification of different products designed to represent space.

Support of Internal Transport Optimization in Farms with the Use of Spatial Information Systems

2020 ◽  
Vol 24 (4) ◽  
pp. 87-94
Author(s):  
Jakub Sikora ◽  
Anna Szeląg-Sikora ◽  
Zofia Gródek-Szostak ◽  
Marcin Niemiec ◽  
Joanna Stuglik
Keyword(s):  
Spatial Distribution ◽  
Data Base ◽  
Spatial Data ◽  
Agricultural Land ◽  
Spatial Information ◽  
Great Part ◽  
Agricultural Producers ◽  
East Region ◽  
Spatial Information Systems ◽  
Internal Transport

AbstractExcessive distribution of holdings is one of the most important barriers which causes that in a great part of Poland rational use of farms in impossible. This problem particularly concerns the south and east region of the country. Correct spatial distribution of lands belonging to holdings is one of the most crucial factors that enable an economically profitable activity of these farms. The aim of the paper was verification of the applicability of the prepared spatial data base, farm-land configuration of agricultural plots of the selected agricultural farms to indicate the areas of optimization of the internal transport. As a result, based on the developed spatial data base, an impact of the land configuration of agricultural plots in the investigated group of agricultural producers on organization of the field transport between the holding and agricultural plots was determined. The scope of the paper covered a vegetable producer group, which associates 5 farms that have in total 620 ha of agricultural land.

Extending UML for Space- and Time-Dependent Applications

2002 ◽  
pp. 342-366 ◽  
Author(s):  
Rosanne Price ◽  
Nectaria Tryfona ◽  
Christian S. Jensen
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Continuous Process ◽  
Spatiotemporal Data ◽  
Temporal Dimension ◽  
Spatial Information Systems ◽  
Time Period ◽  
High Level ◽  
Changes Over Time ◽  
Measurement Location

In recent years, the need for a temporal dimension in traditional spatial information systems and for high-level models useful for the conceptual design of the resulting spatiotemporal systems has become clear. Although having in common a need to manage spatial data and their changes over time, various spatiotemporal applications may manage different types of spatiotemporal data and may be based on very different models of space, time, and change. For example, the term spatiotemporal data is used to refer both to temporal changes in spatial extents, such as redrawing the boundaries of a voting precinct or land deed, and to changes in the value of thematic (i.e., alphanumeric) data across time or space, such as variation in soil acidity measurements depending on the measurement location and date. A spatiotemporal application may be concerned with either or both types of data. This, in turn, is likely to influence the underlying model of space employed, e.g., the two types of spatiotemporal data generally correspond to an object- versus a field-based spatial model. For either type of spatiotemporal data, change may occur in discrete steps, e.g., changes in land deed boundaries, or in a continuous process, e.g., changes in the position of a moving object such as a car. Another type of spatiotemporal data is composite data whose components vary depending on time or location. An example is the minimum combination of equipment and wards required in a certain category of hospital (e.g., general, maternity, psychiatric), where the relevant regulations determining the applicable base standards vary by locality and time period.

scholarly journals The use of geoinformation in rural and urban-rural gminas of Zgierz poviat – a pilot survey

2013 ◽  
Vol 22 (22) ◽  
pp. 47-53 ◽  
Author(s):  
Marcin Feltynowski
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Spatial Information ◽  
Individual Member ◽  
Pilot Survey ◽  
Rural And Urban ◽  
Spatial Information Systems ◽  
Territorial Unit ◽  
Administrative Unit ◽  
Urban Rural

AbstractThe use of geoinformation becomes more and more common due to the implementation of EU law to the regulations of individual member states. The opportunity of faster implementation of spatial information systems and geoinformation is possible thanks to the popularisation of knowledge concerning the ways of using spatial information. The pilot survey was conducted in rural and urban-rural gminas of Zgierz poviat (administrative unit of the 2nd order). The aim of the survey was to check if the officials in small gminas have knowledge and access to geoinformation. A part of the research was the identification of the sources of obtaining knowledge and sources of obtaining spatial data. The consequence of such an attitude was, as well, to prove in which areas of territorial unit activity geoinformation is used. An important element of the study was self-assessment of the knowledge level of the officials about geoinformation and spatial information systems. The study helped to determine if there is a knowledge gap in Polish gminas. The analyses allow for indicating the level and areas of geoinformation usage by the local authorities.

DARCY RIBEIRO UNIVERSITY CAMPUS MAP – 2017- TECHNICAL NOTE

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Rafael Sanzio Araújo dos Anjos ◽  
Jose Leandro de Araujo Conceição ◽  
Jõao Emanuel ◽  
Matheus Nunes
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Technical Note ◽  
University Campus ◽  
Communication Tool ◽  
Sources Of Information ◽  
Data Manipulation ◽  
Geographic Space ◽  
The Many ◽  
New Generation

The spatial information regarding the use of territory is one of the many strategies used to answer and to inform about what happened, what is happening and what may happen in geographic space. Therefore, the mapping of land use as a communication tool for the spatial data made significant progress in improving sources of information, especially over the last few decades, with new generation remote sensing products for data manipulation.

An Optimal Framework for Spatial Query Optimization Using Hadoop in Big Data Analytics

2019 ◽  
Vol 12 ◽  
Author(s):  
Pankaj Dadheech ◽  
Dinesh Goyal ◽  
Sumit Srivastava ◽  
Ankit Kumar
Keyword(s):  
Big Data ◽  
Query Optimization ◽  
Spatial Data ◽  
Spatial Information ◽  
Big Data Analytics ◽  
Spatial Query ◽  
Data Process ◽  
Boolean Queries ◽  
Spatial Query Optimization ◽  
Hadoop System

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.

scholarly journals Literature Mapper: A QGIS Plugin for Georeferencing Citations in Zotero

2021 ◽  
Vol 14 ◽  
pp. 117862212110092
Author(s):  
Michele M Tobias ◽  
Alex I Mandel
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Future Research ◽  
Web Mapping ◽  
Web Map ◽  
Public Sharing ◽  
Academic Publications ◽  
Spatial Coordinates ◽  
Study Sites ◽  
Soil And Water

Many studies in air, soil, and water research involve observations and sampling of a specific location. Knowing where studies have been previously undertaken can be a valuable addition to future research, including understanding the geographical context of previously published literature and selecting future study sites. Here, we introduce Literature Mapper, a Python QGIS plugin that provides a method for creating a spatial bibliography manager as well as a specification for storing spatial data in a bibliography manager. Literature Mapper uses QGIS’ spatial capabilities to allow users to digitize and add location information to a Zotero library, a free and open-source bibliography manager on basemaps or other geographic data of the user’s choice. Literature Mapper enhances the citations in a user’s online Zotero database with geo-locations by storing spatial coordinates as part of traditional citation entries. Literature Mapper receives data from and sends data to the user’s online database via Zotero’s web API. Using Zotero as the backend data storage, Literature Mapper benefits from all of its features including shared citation Collections, public sharing, and an open web API usable by additional applications, such as web mapping libraries. To evaluate Literature Mapper’s ability to provide insights into the spatial distribution of published literature, we provide a case study using the tool to map the study sites described in academic publications related to the biogeomorphology of California’s coastal strand vegetation, a line of research in which air movement, soil, and water are all driving factors. The results of this exercise are presented in static and web map form. The source code for Literature Mapper is available in the corresponding author’s GitHub repository: https://github.com/MicheleTobias/LiteratureMapper

scholarly journals Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching

2021 ◽  
Vol 10 (2) ◽  
pp. 79
Author(s):  
Ching-Yun Mu ◽  
Tien-Yin Chou ◽  
Thanh Van Hoang ◽  
Pin Kung ◽  
Yao-Min Fang ◽  
...  
Keyword(s):  
Data Structures ◽  
Spatial Data ◽  
Spatial Information ◽  
Data Retrieval ◽  
Spatial Data Mining ◽  
Map Matching ◽  
Matching Algorithm ◽  
Table Method ◽  
Look Up Table ◽  
The Look

Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large truck fleets in the context of the current complex network of roads. Therefore, this paper proposes a multilayer-based map matching algorithm with different spatial data structures to deal rapidly with large amounts of coordinate data. Using the dimension reduction technique, the geodesic coordinates can be transformed into plane coordinates. This study provides multiple layer grouping combinations to deal with complex road networks. We integrated these techniques and employed a puncture method to process the geometric computation with spatial data-mining approaches. We constructed a spatial division index and combined this with the puncture method, which improves the efficiency of the system and can enhance data retrieval efficiency for large truck fleet dispatching. This paper also used a multilayer-based map matching algorithm with raster data structures. Comparing the results revealed that the look-up table method offers the best outcome. The proposed multilayer-based map matching algorithm using the look-up table method is suited to obtaining competitive performance in identifying efficiency improvements for large truck fleet dispatching.

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