Geographic Information Systems and Location Analytics for Business and Management

2020 ◽  
Author(s):  
Peter Keenan
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Human Activities ◽  
Smart Cities ◽  
Geographic Information ◽  
Research Field ◽  
Computer Application ◽  
Location Analysis ◽  
The Earth ◽  
Wide Range

A geographic information system (GIS) is a system designed to capture, store, organize, and present spatial data, which is referenced to locations on the Earth. Locational information is of value for a wide range of human activities for decision-making relating to these activities. As spatial data is relatively complex, GIS represents a challenging computer application that has developed later than some other forms of computer systems. GIS uses spatial data for a region of the Earth; such regional data are of interest to a wide range of users whose activities take place in that region, and so many users in otherwise disconnected domains share spatial data. The availability and cost of spatial data are important drivers of GIS use, and the sourcing and integration of spatial data are continuing research concerns. GIS use now spans a wide range of disciplines, and the diversity created is one of the obstacles to a well-integrated research field. Location analysis is the use of GIS for general-purpose analysis to determine the preferred geographic placement of human activities. Location analytics uses spatial data and quantitative spatial models to support decision-making, including location analysis. The growth of location analytics reflects the increasing amounts of data now available owing to new data collection technologies such as drones and because of the massive amounts of data collected by the use of mobile devices like smartphones. Location analytics allow many valuable new services that play an important role in new developments such as smart cities. Location analytics techniques potentially allow the tracking of individuals, and this raises many ethical questions, however useful the service provided; therefore, issues related to privacy are of increasing concern to researchers.

scholarly journals Geographic Information System Produksi Energi dan Pertambangan Kabupaten Musi Banyuasin

2018 ◽  
Vol 3 (3) ◽  
pp. 360-369 ◽  
Author(s):  
Usman Ependi
Keyword(s):  
Decision Making ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Open Data ◽  
Geographic Information ◽  
Extreme Programming ◽  
Programming Approach ◽  
User Needs ◽  
Government Control

Energy and mining reporting have to conduct for the exploration company in order to make control while exploration. Government control can perform by making profiling of energy and mining data that exist in the area as consideration in taking policy or decision. Stages of energy and mining reporting are very important to do especially in areas that have energy and mining resources such as Musi Banyuasin regency. Profiling can performed by mapping the location of energy and mining results using a geographic information system (GIS) to organize data between explorers and governments. Based on these conditions GIS was developed using a technique that prioritizes user needs with extreme programming development techniques. The result of GIS development shows that the processing of data becomes information based on spatial and non-spatial data with the final result of energy and mining report. The report presented can be used as a report to the relevant parties as an effort to open data of energy and mining as material in decision-making or policy. Geographic information system generated systematically developed using extreme programming approach with five stages of exploration, planning, iteration, production and maintenance so that it can run funtionaly according to its function

scholarly journals Spatial Data Lake for Smart Cities: From Design to Implementation

2020 ◽  
Vol 1 ◽  
pp. 1-15
Author(s):  
Rodrique Kafando ◽  
Rémy Decoupes ◽  
Lucile Sautot ◽  
Maguelonne Teisseire
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Smart Cities ◽  
Real Data ◽  
Heterogeneous Data ◽  
Geographic Information ◽  
Sensor Data ◽  
Remote Sensing Images ◽  
Thematic Information ◽  
General Data

Abstract. In this paper, we propose a methodology for designing data lake dedicated to Spatial Data and an implementation of this specific framework. Inspired from previous proposals on general data lake Design and based on the Geographic information – Metadata normalization (ISO 19115), the contribution presented in this paper integrates, with the same philosophy, the spatial and thematic dimensions of heterogeneous data (remote sensing images, textual documents and sensor data, etc). To support our proposal, the process has been implemented in a real data project in collaboration with Montpellier Métropole Méditerranée (3M), a metropolis in the South of France. This framework offers a uniform management of the spatial and thematic information embedded in the elements of the data lake.

GIS Technique for Territorial Analysis

2011 ◽  
pp. 425-445
Author(s):  
Francesco Riccioli ◽  
Toufic El Asmar
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Human Activities ◽  
Spatial Decision Support System ◽  
Complex Data ◽  
Spatial Decision Support ◽  
Territorial Planning ◽  
Analysis Process ◽  
Gis Technique ◽  
Territorial Analysis

Territorial analysis is related to the complexity of an area where human activities and environmental characteristics are the main development factors. Human activities have a direct (e.g. farm activities) and indirect (e.g. urban development/sprawl) influence on a territory and its environment, which gives an important function to such activities when strategies for territorial planning have to be defined. Several actors are involved in the assessment of a territory, which is a complicated feature of decision making to be achieved with the use of complex data-analysis process. The evolution of personal computer and specific software for the analysis of spatial data is giving important contribution to “Territorial Planning Strategies.” Spatial Decision Support System is an example of how problems occurred during a decision making process can be solved using methodologies that combine “Multicriteria Approach” and “Geographic Information System.” One of these methodologies is represented by “Spatial Multicriteria Decision Analysis.”

3D UAV trajectory planning using evolutionary algorithms: A comparison study

2015 ◽  
Vol 119 (1220) ◽  
pp. 1271-1285 ◽  
Author(s):  
M. Bagherian ◽  
A. Alos
Keyword(s):  
Trajectory Planning ◽  
Three Dimensional ◽  
Particle Swarm ◽  
Geographic Information ◽  
Flight Path ◽  
Planning Problem ◽  
The Earth ◽  
Swarm Algorithms ◽  
Starting Point ◽  
Wide Range

Abstract This paper focuses on the three dimensional flight path planning for an unmanned aerial vehicle (UAV) on a low altitude terrain following\terrain avoidance mission. The UAV trajectory planning problem is to compute an optimal or near-optimal trajectory for a UAV to do its mission objectives in a surviving penetration through the hostile enemy environment, considering the shape of the earth and the kinematics constraints of the UAV. Using the three dimensional terrain information, three dimensional flight path from a starting point to an end point, minimising a cost function and regarding the kinematics constraints of the UAV is calculated. The geographic information of the earth shape and enemy locations is generated using digital terrain model (DTM) and geographic information system (GIS), and is displayed in a 3D environment. Using 3D-maps containing the geographic data accompanied by DTM, and GIS, the problem is modelled by deriving the motion equations of the UAV. Two heuristic algorithms are proposed for this problem: genetic and particle swarm algorithms. Genetic and particle swarm algorithms are general purposes algorithms, because they can solve a wide range of problems, so they have to be adjusted to solve the trajectory planning problem. To test and compare the paths obtained from these algorithms, a software program is built using GIS tools and the programming languages C# and MATLAB.

The Anthropocene’s dating problem: Insights from the geosciences and the humanities

2018 ◽  
Vol 5 (2) ◽  
pp. 107-119 ◽  
Author(s):  
Kyle Nichols ◽  
Bina Gogineni
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Human Activities ◽  
Natural Sciences ◽  
Earth System ◽  
Social Scientists ◽  
The Earth ◽  
Wide Range ◽  
Geologic Record ◽  
Earth’S System

The Anthropocene, generally defined, is the time when human activities have a significant impact on the Earth System. However, the natural sciences, the humanities, and the social sciences have different understandings of how and when human activities affected the Earth System. Humanities and social science scholars tend to approach the Anthropocene from a wide range of moral-political concerns including differential responsibility for the change in the Earth System and social implications going forward. Geologists, on the other hand, see their work as uninfluenced by such considerations, instead concerning themselves with empirical data that might point to a ‘golden spike’ in the geologic record – the spike indicating a change in the Earth System. Thus, the natural sciences and the humanities/social sciences are incongruent in two important ways: (1) different motivations for establishing a new geologic era, and (2) different parameters for identifying it. The Anthropocene discussions have already hinted at a paradigm shift in how to define geologic time periods. Several articles suggest a mid-20th century commencement of the Anthropocene based on stratigraphic relationships identified in concert with knowledge of human history. While some geologists in the Anthropocene Working Group have stated that the official category should be useful well beyond geology, they continue to be guided by the stratigraphic conventions of defining the epoch. However, the methods and motivations that govern stratigraphers are different from those that govern humanists and social scientists. An Anthropocene defined by stratigraphic convention would supersede many of the humanities/social science perspectives that perhaps matter more to mitigating and adapting to the effects of humans on Earth’s System. By this reasoning, the impetus for defining the Anthropocene ought to be interdisciplinary, as traditional geologic criteria for defining the temporal scale might not meet the aspirations of a broad range of Anthropocene thinkers.

scholarly journals Background of the Bathymetric Cartography of Mexico

2021 ◽  
Vol 6 (Vol Esp. 2) ◽  
pp. 183-190
Author(s):  
Juan Javier Durón Díaz ◽  
Félix Frías Ibarra
Keyword(s):  
Decision Making ◽  
Geographic Location ◽  
Geographic Information ◽  
Marine Resources ◽  
Disaster Prevention ◽  
Environmental Diversity ◽  
Marine Life ◽  
Wide Range ◽  
Determining Factor

At present the Mexican oceans are important for economic, social, and climatic reasons; Mexico’s privileged geographic location, between two oceans, largely explains the enormous biological and environmental diversity that it brings together, in addition to its wide range of marine resources and ecosystems. A determining factor that influences marine life is undoubtedly the relief that is submerged in the oceans, since different ecosystems originate in it where diversity of species is concentrated. Likewise, a great diversity of metals and hydrocarbons are concentrated in the relief, which currently constitute another wealth for Mexico. Given this, the National Institute of Statistics and Geography (INEGI, by its acronym in spanish)) has been given the task of providing data and geographic information of the undersea relief of Mexico through bathymetric cartography to represent the seabed to assist in decision-making in the areas economic, political, social, and technical, as well as for the planning and development of marine infrastructure and, where appropriate, for disaster prevention and response.

GIS Technique for Territorial Analysis

2013 ◽  
pp. 228-249 ◽  
Author(s):  
Francesco Riccioli ◽  
Toufic El Asmar
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Human Activities ◽  
Spatial Decision Support System ◽  
Complex Data ◽  
Spatial Decision Support ◽  
Territorial Planning ◽  
Analysis Process ◽  
Gis Technique ◽  
Territorial Analysis

Territorial analysis is related to the complexity of an area where human activities and environmental characteristics are the main development factors. Human activities have a direct (e.g. farm activities) and indirect (e.g. urban development/sprawl) influence on a territory and its environment, which gives an important function to such activities when strategies for territorial planning have to be defined. Several actors are involved in the assessment of a territory, which is a complicated feature of decision making to be achieved with the use of complex data-analysis process. The evolution of personal computer and specific software for the analysis of spatial data is giving important contribution to “Territorial Planning Strategies.” Spatial Decision Support System is an example of how problems occurred during a decision making process can be solved using methodologies that combine “Multicriteria Approach” and “Geographic Information System.” One of these methodologies is represented by “Spatial Multicriteria Decision Analysis.”

scholarly journals THE ROLE OF GEOMATICS ENGINEER IN SMART CITIES: A VIEW WITHIN THE FRAMEWORK OF TURKISH 2020–2023 NATIONAL SMART CITIES STRATEGY AND ACTION PLAN

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 333-341
Author(s):  
K. Konur ◽  
R. M. Alkan
Keyword(s):  
Spatial Data ◽  
Information Technologies ◽  
Smart Cities ◽  
Action Plan ◽  
Geographic Information ◽  
Geographic Information Technologies ◽  
Geographic Data ◽  
Technological Developments ◽  
Made In

Abstract. The development of technology resulted major revolutions in the cities. With the integration of technological developments into cities, the concept of smart cities began to emerge. Today, applications are made on smart cities in many countries. It is not possible to build a smart city without geographic data. It is one of the main duties of Geomatics Engineers to produce, use, process and finalize the geographic data and present it to the user. In this study, referring to the role of Geomatics Engineer in smart cities across Turkey 2020-2023 National Smart Cities Strategy and Action Plan framework is made in the investigations. When this plan is examined, it is seen that the importance of geographical/geo-spatial data and geo-information technologies for the realization of smart cities is an undeniable fact. In the 2020–2023 National Smart Cities Strategy and Action Plan, it has been clearly demonstrated that Geographic Information Systems and Geographic Information Technologies have a great role in creating smart cities.

scholarly journals Data Mining Algorithms for Smart Cities: A Bibliometric Analysis

Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 242
Author(s):  
Anestis Kousis ◽  
Christos Tjortjis
Keyword(s):  
Data Mining ◽  
Bibliometric Analysis ◽  
Quantitative Methods ◽  
Smart Cities ◽  
Research Field ◽  
Scientific Field ◽  
Comprehensive Overview ◽  
Qualitative And Quantitative Methods ◽  
Data Mining Algorithms ◽  
Wide Range

Smart cities connect people and places using innovative technologies such as Data Mining (DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents a bibliometric analysis to provide a comprehensive overview of studies associated with DM technologies used in smart cities applications. The study aims to identify the main DM techniques used in the context of smart cities and how the research field of DM for smart cities evolves over time. We adopted both qualitative and quantitative methods to explore the topic. We used the Scopus database to find relative articles published in scientific journals. This study covers 197 articles published over the period from 2013 to 2021. For the bibliometric analysis, we used the Biliometrix library, developed in R. Our findings show that there is a wide range of DM technologies used in every layer of a smart city project. Several ML algorithms, supervised or unsupervised, are adopted for operating the instrumentation, middleware, and application layer. The bibliometric analysis shows that DM for smart cities is a fast-growing scientific field. Scientists from all over the world show a great interest in researching and collaborating on this interdisciplinary scientific field.

scholarly journals Unified Data Access/Query over Integrated Data-views for Decision Making in Geographic Information Systems

2009 ◽  
pp. 276-298
Author(s):  
Ahmet Sayar ◽  
Geoffrey C. Fox ◽  
Marlon E. Pierce
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
Data Access ◽  
Heterogeneous Data ◽  
Geographic Information ◽  
Service Architecture ◽  
Compliance Requirements ◽  
And Performance

Geographic information is critical for building disaster planning, crisis management, and early-warning systems. Decision making in geographic information systems (GIS) increasingly relies on analyses of spatial data in map-based formats. Maps are complex structures composed of layers created from distributed heterogeneous data belonging to the separate organizations. This chapter presents a distributed service architecture for managing the production of knowledge from distributed collections of observations and simulation data through integrated data-views. Integrated views are defined by a federation service (“federator”) located on top of the standard service components. Common GIS standards enable the construction of this system. However, compliance requirements for interoperability, such as XML-encoded data and domain specific data characteristics, have costs and performance overhead. The authors investigate issues of combining standard compliance with performance. Although their framework is designed for GIS, they extend the principles and requirements to general science domains and discuss how these may be applied.

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