A Spatial Data Structure for the 3D Graphical Facility Management System

To process enormous 3D data, we have designed a VLIW (Very Long Instruction Word) processor called FLOVA (Floating-Point VLIW Architecture) exploiting the ILP (Instruction-Level Parallelism) in 3D programs. This paper presents FGA (FLOVA Geometry Accelerator) that is the 3D graphics system and it almost removes the time required to process in the geometry stage. We have developed the 3D graphics library, FGA-GL, to supports the FGA system. The deferred primitive rendering algorithm of FGA-GL enables the geometry processing of the primitive data to be done concurrently with the host job such as primitive data management or game play. FGA improves the average performance of 3D graphics system by 2.5-3.0.

In the process of power dispatching and control, dispatching small network is an effective means to realize the remote number allocation in power dispatching and switching network. However, due to the scattered site, a wide range, and some unmanned site remote locations, there is a need for a small site terminal equipment to find the fault. To solve these problems, a terminal graphics management system is established. First, the real-time status monitoring mechanism of terminal is established based on IPoE technology to realize the status awareness of remote terminal. The heartbeat mechanism is segmented in link layer to meet the real-time performance of terminal state presentation. Then, the message class method with special characters is used to replace the original dial method to test the detection mode of manual answering. Automatic monitoring using telemetry technology can effectively monitor in unattended situations. Finally, considering the performance of different devices and various fault scenarios, according to the inherent hardware characteristics of segmented devices, the unified packet detection technology is used to realize the fault diagnosis of network sub-nodes, and finally realize the fault diagnosis of the terminal. After experimental verification and testing, the platform can realize remote fault detection and management of each plant terminal through topological graphical management system. The system can improve the scale and management ability of intelligent power dispatching of small stations.

This paper presents the development of a 3-D computer graphics software for displaying wellbore trajectories. The software is designed for use with PC microcomputer operating under MICROSOFT WINDOWS™ environment. Examples of the software application are given in two important areas of directional drilling: 1) avoidance of wellbore collisions and 2) planning and drilling monitoring of relief wells. First, the paper presents the basic theory behind the computer graphics techniques used for developing the computer software. Second, it presents the display modes and important features provided by the system that includes 2-D and 3-D views of wellbore trajectories with ability of rotation, zoom-in and zoom-out, and display of uncertainty ellipses. These features are very helpful in planning and monitoring wellbore trajectories. Also, these capabilities allow the software to be used as a powerful training tool. The last part of the paper illustrates the application of this graphic system in planning and monitoring: 1) directional drilling in high density well areas such as offshore platforms in order to avoid wellbore collision; and 2) the relief well drilling to assist in the approaching procedure between relief and blowing wells and the use of ranging tools.

In this paper, an attempt is made to develop a bridge management system that can provide practical maintenance plans by using a multiple objective genetic algorithm. In order to find out several useful solutions from a set of Pareto solutions, a 3D graphical system is developed by using JAVA techniques.

Spatial big data architecture: From Data Warehouses and Data Lakes to the LakeHouse

Geographic information systems (GISs) are widely used for representation, management, and analysis of spatial data in many disciplines. In particular, geoscientists increasingly use these tools for data integration and management purposes in many environmental applications, ranging from water resources management to the study of global warming. Beyond these capabilities, geoscientists need to model and simulate three-dimensional (3D) dynamic fields and readily integrate those results with other relevant spatial information in order to have a better understanding of the environmental problems. However, GISs are very limited for the modeling and simulation of spatial fields, which are mostly 3D and dynamic. These limitations are mainly related to the existing GIS spatial data structures that are static and limited to 2D space. In order to overcome these limitations, we develop and implement a new kinetic 3D spatial data structure based on Delaunay tetrahedralization and a 3D Voronoi diagram to support a 3D dynamic field simulation within GISs. In this article, we describe in detail the different steps from discretization of a 3D continuous field to its numerical integration, based on an event-driven method. For validation of the proposed spatial data structure itself and its potential for the simulation of a dynamic field, two case studies are presented in the article. According to our observations, during the simulation process, the data structure is maintained and the 3D spatial information is managed adequately. Furthermore, the results obtained from both experiments are very satisfactory and are comparable with the results obtained from other existing methods for the simulation of the same dynamic field. To conclude, we discuss the current challenges related to the development of the 3D kinetic data structure itself and its adaptation to 3D dynamic field simulation and suggest some solutions for its improvement.

Abstract: This book presents a comprehensive and interdisciplinary framework for advancing spatial big data analytics by integrating distributed computing technologies with modern Geographic Information Systems (GIS). It addresses the growing complexity and scale of geospatial data characterized by high volume, velocity, and spatial-temporal heterogeneity. The core objective is to equip researchers, analysts, and practitioners with scalable methodologies that harness the combined power of the Hadoop ecosystem and ArcGIS platforms for processing, modeling, and visualizing large-scale spatial datasets. The analytical framework developed in this work builds on foundational spatial concepts—such as topology, projections, and spatial autocorrelation—and extends into advanced topics including spatial machine learning, geostatistics, real-time sensor stream analytics, and spatial-temporal modeling. Methodologies encompass the use of HDFS, MapReduce, GeoSpark, and SpatialHadoop for distributed processing, combined with ArcGIS tools for spatial modeling, scripting (ArcPy), and high-resolution visualization. Empirical case studies drawn from environmental monitoring, urban planning, disaster response, and precision agriculture illustrate end-to-end pipelines that emphasize reproducibility, ethical data handling, and decision-oriented visualization. The key contribution of this volume lies in bridging computational infrastructure with geospatial reasoning, offering a scalable, interoperable, and ethically informed approach to modern spatial data science. Keywords spatial big data, geospatial analytics, Hadoop, ArcGIS, spatial machine learning, spatial-temporal modeling, GIS, MapReduce, GeoSpark, SpatialHadoop, ArcPy, distributed computing, geostatistics, spatial data visualization, real-time stream analytics, spatial data science, geoinformatics, environmental monitoring, urban analytics, data-intensive GIS

For the performance of geographic information systems, it has been widely recognized that efficient data structures and algorithms supporting proximity based access to spatial data are a crucial ingredient. Because of that, in the last years, a lot of data structures for storage of multidimensional non-point objects have been proposed in the literature (for an overview see our tutorial introduction in this volume). Almost all of these approaches are made to support queries based on spatial neighborhood of objects, so-called proximity queries. Common examples of such proximity queries are range queries, returning all objects intersecting a given (rectangular) region, or nearest neighbor queries, determining the object nearest to a given point. But a geographic or cartographic information system should also support queries that do not exclusively refer to the spatial neighborhood of objects. For example, different versions of spatial data must be organized such that proximity queries to any version of the data can be answered efficiently. Or, given a set of object classes, a spatial query that involves an arbitrary combination of these classes should also be supported. Because of the growing size of data sets to be handled in geographic information systems, an appropriate data organisation to support such and several other application-specific queries becomes more and more important. In this paper, we will present two approaches for access structures supporting the two types of queries mentioned above. Handling of versioned, spatial data is the topic of Section 2, while Section 3 discusses queries on some classes selected from the set of object classes stored in a geographic information system.

The most prominent problem of rapid urbanism in Harare is the development of slums and Epworth is a notable example. The quality of planning and decision making in the participatory slum upgrading initiative can be sustainably improved by well managed processes of spatial and socio-economic data collection. More so, existing approaches for slum upgrading are built on the basis of collaborative planning and thus community participation. Geographic Information Systems (GIS) tools and support systems should explicitly consider the needs of professional and non-professional stakeholders in slum upgrading process. This study aimed to develop a customized “GIS based slum upgrading system" that would empower the community to participate in the planning and decision making processes involved in slum upgrading. The study involved developing tools that could be used by lay people, to achieve the same results an expert would. To achieve this, a PostgreSQL/Postgis spatial database integrating the spatial and enumeration data component was developed as the backend with a front end developed using VB.Net. A Map Control tool was imported from Map window 4.7 for displaying and interacting with spatial data. Techniques such as buffering were incorporated in the system to allow users to check for structures within a given distance of a feature. The system also provided a tool that allowed users to select an area and calculate the number of stands that can be obtained after inputting parameters like stand size and type of road. The system provided for tools that calculate statistical values e.g. determining the population as well as the number of households in a selected area. Users could also query for socio-economic data by selecting spatial features. This provided flexibility in terms of the interaction of the users with the data. The system proved that with user oriented GIS system it is possible to develop tools that can be used by lay people especially those in slums to formalize their areas and obtain security of tenure.Keywords: Slum upgrading, Participatory GIS, Security of tenure

This paper presents an implemented system which allows one to run a fleet of autonomous mobile robots in a route network with a very limited centralized activity. The robots are provided with all the necessary ingredients for planning and executing navigation missions in a multi-robot context. Multi-robot cooperation is based on a generic paradigm called plan-merging paradigm, where robots incrementally merge their plans into a set of already coordinated plans. The robot architecture is derived from the generic architecture developed at LAAS. A 3D graphic environment system allows one to display a complete system composed of a dozen (or more) robots, each running on an independent workstation. An example is presented together with numerical results on the system behavior.

We present a unique Geographical Information System (GIS) that seamlessly integrates 2D and 3D views of the same spatial and aspatial data. Multiple layers of information are continuously transformed between the 2D and 3D modes under the control of the user, directly over a base-terrain.Although 2D/3D hybrid (or combination) displays are now widely used in medical applications such as tomography, they have not been explored to any great extent in GIS applications. And although many existing commercial 3D GIS systems have 2D views they are typically isolated from the 3D view in that they are presented in a separate window. In this paper we introduce a 2D/3D hybrid GIS that allows the user to view the 2D data in direct relation to the 3D view within the same view.

During 1979, CERN began to evaluate how interactive computer graphics displays could aid the analysis of high-energy physics experiments at the new Super Proton Synchrotron collider. This work led to PIONS, a 3D graphics system, which features the ability to store and view hierarchical graphics structures in a directed-acyclic-graph database. It is possible to change the attributes of these structures by making selections on nongraphical information also stored in the database. PIONS is implemented as an object-oriented message-passing system based on Small Talk design principles. It supports multiple viewing transformations, logical input devices, and 2D and 3D primitives. The design allows full use to be made of display hardware that provides dynamic 3D picture transformation.

Many tools have been developed to visualize protein and molecular structures. Most high quality protein visualization tools use the OpenGL graphics library as a 3D graphics system. Currently, the performance of recent 3D graphics hardware has rapidly improved. Recent high-performance 3D graphics hardware support Microsoft Direct3D graphics library more than OpenGL and have become very popular in personal computers (PCs). In this paper, a molecular visualization system termed ProteinVista is proposed. ProteinVista is well-designed visualization system using the Microsoft Direct3D graphics library. It provides various visualization styles such as the wireframe, stick, ball and stick, space fill, ribbon, and surface model styles, in addition to display options for 3D visualization. As ProteinVista is optimized for recent 3D graphics hardware platforms and because it uses a geometry instancing technique, its rendering speed is 2.7 times faster compared to other visualization tools.

GIS in Seismic Evaluation of Essential Facilities

This chapter aimed to reveal how the analysis, design, and development processes should be carried out while history teaching environments are being developed in 3D virtual environments and to set a concrete definition of teaching process in 3D virtual environments. In the history teaching session, the participants were represented in the 3D virtual environment developed in OpenSim simultaneously with their own avatars. They role-played the historical characters and actively participated in the events of that period by using historical reenactment technique in historical spaces. Additionally, this chapter describes the development process of a 3D virtual teaching environment from the design of the teaching process to the implementation. The procedures performed during the preparation of the 3D virtual teaching environment are presented with a flowchart. It is expected that this flowchart, suggested as a 3D virtual instructional design model, will guide researchers through the process of developing teaching implementations in 3D virtual environments in future studies.