scholarly journals A GIS data model for public gardens

2018 ◽  
Vol 23 (1) ◽  
pp. 87-103
Author(s):  
Brian J. Morgan ◽  
Steven E. Greco
Keyword(s):  
2012 ◽  
Vol 26 (5) ◽  
pp. 817-838 ◽  
Author(s):  
Zhixiang Fang ◽  
Qingquan Li ◽  
Xing Zhang ◽  
Shih-Lung Shaw

2019 ◽  
Vol 153 ◽  
pp. 74-95 ◽  
Author(s):  
Mingxiang Feng ◽  
Shih-Lung Shaw ◽  
Zhixiang Fang ◽  
Hao Cheng

2012 ◽  
Vol 594-597 ◽  
pp. 2351-2355
Author(s):  
Qing Guo Wang

3D data model is an indispensable component to any 3D GIS, and forms the basis of 3D spatial analysis and representation. At present, plenty of representative 3D data models are proposed. However, existing models neglect the display result and the consumption of storage space. Based on the analysis of existing 3D GIS data model, a 3D surface model is proposed for fast visualization in this paper, which is composed of node, segment and triangle. The data structure and formal representation of the proposed 3D surface model is developed to organize and store data of 3D model. Finally, an experiment is made to compare this 3D surface model with other 3D data model, and the result demonstrates that the 3D surface model proposed in this paper is superior to the existing data model in terms of data volume, moreover, it can acquire fast visualization speed.


2021 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Yufeng He ◽  
Barbara Hofer ◽  
Yehua Sheng ◽  
Yi Huang

Abstract. The Geographic scene is a conceptual model that provides a holistic representation of the environment. This model has been developed in order to overcome limitations of geographic information systems (GIS) concerning interactions between features and the representation of dynamics. This contribution translates the theoretical model into an implementation of a dynamic data model in the graph database Neo4j and applies it to GIS data representing the dynamic information of a typhoon. The specific focus of the contribution is on choices made in the process of generation of the implementation of the example and the potential queries it supports.


2006 ◽  
pp. 34-53 ◽  
Author(s):  
Aileen Buckley ◽  
Charlie Frye

There is a certain class of features on maps that are difficult to generate from traditional GIS databases — named features of the natural landscape. Physical features, such as mountain ranges, canyons, ridges and valleys, and named water bodies, such as capes, bays and coves, are often not found in GIS databases. This results in their omission on maps or at best their addition to the map as graphic type that is not georeferenced to the data used to make the map. This paper describes an inherently multi-scale GIS data model for physiographic features, and by extension named water bodies and named islands and island chains and groups, that can be used to create many different types of maps. The semantic model (what features to include), the representation (how to define the geometry of the features and their attributes), and the symbology (the specifications for both type properties and type placement) are discussed. In addition, the sensitivity of the representations and symbology to the software used for mapping are described. These issues are reviewed in hopes that others will be better able to use GIS data and software to make maps that include these features. Cartographers know that without the inclusion of the type for these names on maps, the products created are less informationally — and cartographically— rich. If more GIS databases with these features in them were developed, non-cartographers using GIS software to make their maps, as well as cartographers who have not generally had these data at hand, could produce better products.


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