Skip to main content
SpringerLink
Log in

Geographical Information Systems (GIS) in Industry 4.0: Revolution for Sustainable Development

  • Reference work entry
  • First Online:
Handbook of Smart Materials, Technologies, and Devices

  • 153 Accesses

Abstract

The world has entered into the twenty-first century with an emerging and promising paradigm shift of industry 4.0. The era is witnessing swift changes that once science fiction has now become a reality owing to advances in technologies. Geography, through Geographical Information Systems (GIS), is uplifting science and society in ultimate, persistent, and enduring ways. Geospatial technology is one of the emerging technologies that go hand in hand with the industrial 4.0 revolution. With the rise of the Internet of Things, disruptive technologies, fast connectivity, cloud computing, and remote sensing, the geospatial sector has also been accelerated. So, geospatial professionals and individuals must be aware of these progressions for sustainable development. Therefore, the current chapter emphasizes the importance of GIS and its revolutions from traditional mapping to advanced real-time geospatial data analytics. The role of GIS in the planning of smart cities, 3D building design, business analysis, location intelligence, telecommunication, transportation, public education, health, and safety is highlighted. From the earth’s land use and resource perspective, the impact of GIS is described in analyzing land information, natural resource management, disaster administration, agricultural monitoring, and environmental assessment. Finally, the chapter discusses GIS contributions to the portal, open data, and citizen engagement in the context of sustainable development.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 899.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 1,399.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Abbreviations

AI:

Artificial Intelligence

ARGIS:

Augmented Reality GIS

CAD:

Computer-aided Design

CAM:

Computer-aided Manufacturing

DT:

Digital Transformation

GIS:

Geographical Information System

GWR:

Geographically Weighted Regression

ICD-9:

International Classification of Diseases, Ninth Revision

IDW:

Inverse Distance Weighted

IMS:

Internet Map Server

IoT:

Internet of Things

LI:

Locational Intelligence

LIDAR:

Light Detection and Ranging

MGWR:

Multiscale GWR

ML:

Machine Learning

NDVI:

Normalized Difference Vegetation Index

SARS-Cov-2:

Severe Acute Respiratory Syndrome Coronavirus 2

UAV:

Unmanned Aerial Vehicles

UN:

United Nations

VRGIS:

Virtual Reality GIS

References

  • Akil L, Ahmad HA (2016) Salmonella infections modelling in Mississippi using neural network and geographical information system (GIS). BMJ Open 6:e009255

    Article  Google Scholar 

  • Allen C, Tsou M-H, Aslam A, Nagel A, Gawron J-M (2016) Applying GIS and machine learning methods to Twitter data for multiscale surveillance of influenza. PLoS One 11:e0157734

    Article  Google Scholar 

  • ArcUser-Online GIS for health care; Today and Tomorrow. https://www.esri.com/news/arcuser/0499/umbrella.html. Accessed 18 Nov 2020

  • Batty M (2013) Big data, smart cities and city planning. Dialogues Hum Geogr 3:274–279

    Article  Google Scholar 

  • Bergman EF, Renwick WH (2003) Introduction to geography: people, places and the environment Study Guide. Prentice Hall

    Google Scholar 

  • Blanco I et al (2019) Geographic distribution of chronic obstructive pulmonary disease prevalence in Africa. Asia Aust Int J Tuberc Lung Disease 23:1100–1106

    Article  MathSciNet  Google Scholar 

  • Blewitt J (2015) Understanding sustainable development. Routledge, New York

    Google Scholar 

  • Boulos MNK, Geraghty EM (2020) Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. BioMed Central

    Google Scholar 

  • Boulos MNK, Lu Z, Guerrero P, Jennett C, Steed A (2017) From urban planning and emergency training to Pokémon Go: applications of virtual reality GIS (VRGIS) and augmented reality GIS (ARGIS) in personal, public and environmental health. BioMed Central

    Google Scholar 

  • Campo AGD (2012) GIS in environmental assessment: a review of current issues and future needs. In: Progress in Environmental Assessment Policy, and Management Theory and Practice, pp 121–143

    Google Scholar 

  • Chang K-T (2008) Introduction to Geographic Information Systems, 4th edn. McGraw-Hill Education

    Google Scholar 

  • Chang K-T (2016) Introduction to Geographic Information Systems, 8th edn. McGraw-Hill Education

    Google Scholar 

  • Chang K-T (2019) Introduction to Geographic Information Systems, 9th edn. McGraw-Hill Education

    Google Scholar 

  • Chen X, He K (2016) The function of GIS in the smart city construction. In: International conference on smart computing and communication. Springer, pp 374–380

    Google Scholar 

  • Dangermond J (2020a) Esri UC 2020 – welcoming our users virtually, Jack Dangermond (1 of 4). https://www.esri.com/videos/watch?playlistid=PLaPDDLTCmy4YwK56yHaEdtRgNUoPBiZTz&videoid=MjexhIKgMkU&channelid=UC_yE3TatdZKAXvt_TzGJ6mw&title=Esri%202020%20User%20Conference%20Plenary

  • Dangermond J (2020b) GIS – interconnecting our world, Jack Dangermond (2 of 4). https://www.esri.com/videos/watch?playlistid=PLaPDDLTCmy4YwK56yHaEdtRgNUoPBiZTz&videoid=MvyOQoiHAqU&channelid=UC_yE3TatdZKAXvt_TzGJ6mw&title=Esri%202020%20User%20Conference%20Plenary

  • Dulin MF, Ludden TM, Tapp H, Blackwell J, de Hernandez BU, Smith HA, Furuseth OJ (2010) Using Geographic Information Systems (GIS) to understand a community’s primary care needs. J Am Board Fam Med 23:13–21

    Article  Google Scholar 

  • Esri (2017a) Making Sense of Digital Transformation; How location technology drives business growth. The science of where. Esri, Redlands

    Google Scholar 

  • Esri (2017b) Making the most of the internet of things: the power of location. The science of where. Esri, Redlands

    Google Scholar 

  • Esri (2018) Putting AI and location intelligence to work. The science of where. Esri, Redlands

    Google Scholar 

  • Esri (2019) Discover the value of location intelligence technology. The science of where. Esri, Redlands

    Google Scholar 

  • Esri (2020a) Disaster response program. Esri. https://www.esri.com/en-us/disaster-response/overview

    Google Scholar 

  • Esri (2020b) Industries. https://www.esri.com/en-us/industries/index. Accessed 2 Sept 2020

  • Esri (2020c) Land Administration and Land Records, Esri. https://www.esri.com/en-us/industries/land-administration/overview. Accessed 1 Oct 2020

  • Fouberg EH, Murphy AB, de Blij HJ (2015) Human geography: people, place, and culture, 11th edn. Wiley

    Google Scholar 

  • Franch-Pardo I, Napoletano BM, Rosete-Verges F, Billa L (2020) Spatial analysis and GIS in the study of COVID-19. A Rev Sci Total Environ 140033

    Google Scholar 

  • Hall T, Barrett H (2018) Urban geography, 5th edn. Routledge

    Book  Google Scholar 

  • Kaplan DH, Holloway S (2014) Urban geography, 3rd edn. Wiley Global Education

    Google Scholar 

  • Li D, Yao Y, Shao Z, Wang L (2014) From digital Earth to smart. Earth Chinese Sci Bull 59:722–733

    Article  Google Scholar 

  • Li W, Batty M, Goodchild MF (2020) Real-time GIS for smart cities. Taylor & Francis

    Book  Google Scholar 

  • MacKinnon D, Cumbers A (2019) An introduction to economic geography: globalization, uneven development and place, 3rd edn. Routledge, New York

    Google Scholar 

  • Marzouk M, Othman A (2020) Planning utility infrastructure requirements for smart cities using the integration between BIM and GIS. Sustain Cities Soc:102120

    Google Scholar 

  • Mendes J et al (2020) Smartphone applications targeting precision agriculture practices – a systematic review. Agronomy 10:855

    Article  Google Scholar 

  • Mollalo A, Vahedi B, Rivera KM (2020) GIS-based spatial modeling of COVID-19 incidence rate in the continental United States. Sci Total Environ:138884

    Google Scholar 

  • Nižetić S, Djilali N, Papadopoulos A, Rodrigues JJPC (2019) Smart technologies for promotion of energy efficiency, utilization of sustainable resources and waste management. J Clean Prod 231:565–591. https://doi.org/10.1016/j.jclepro.2019.04.397

    Article  Google Scholar 

  • Pacione M (2009) Urban geography: a global perspective. Routledge

    Book  Google Scholar 

  • Petrova-Antonova D, Ilieva S (2019) Methodological framework for digital transition and performance assessment of smart cities. In: 2019 4th international conference on smart and sustainable technologies (SpliTech). IEEE, pp 1–6

    Google Scholar 

  • Pinichka C, Makka N, Sukkumnoed D, Chariyalertsak S, Inchai P, Bundhamcharoen K (2017) Burden of disease attributed to ambient air pollution in Thailand: a GIS-based approach. PLoS One 12:e0189909

    Article  Google Scholar 

  • Prasad R (2019) GIS in agriculture: a review international. J Satell Commun Remote Sens 5:12–15

    Google Scholar 

  • Rubenstein JM (2016) Contemporary human geography

    Google Scholar 

  • Sahar L, Foster SL, Sherman RL, Henry KA, Goldberg DW, Stinchcomb DG, Bauer JE (2019) GIScience and cancer: state of the art and trends for cancer surveillance and epidemiology. Cancer 125:2544–2560

    Google Scholar 

  • Saračević M, Plojović Š, Bušatlić S (2020) IoT application for smart cities data storage and processing based on triangulation method. In: Internet of things (IoT). Springer, pp 317–334

    Chapter  Google Scholar 

  • Schwab K (2016) The fourth industrial revolution. World Economic Forum

    Google Scholar 

  • Shabbir W, Pilz J, Naeem A (2020) A spatial-temporal study for the spread of dengue depending on climate factors in Pakistan (2006–2017). BMC Public Health 20:1–10

    Article  Google Scholar 

  • Sirisena P, Noordeen F, Kurukulasuriya H, Romesh TA, Fernando L (2017) Effect of climatic factors and population density on the distribution of dengue in Sri Lanka: a GIS based evaluation for prediction of outbreaks. PLoS One 12:e0166806

    Article  Google Scholar 

  • Strahler A (2011) Introducing physical geography, 5th edn. Wiley

    Google Scholar 

  • Strahler A (2013) Introducing Physical Geography, 6th edn. Wiley

    Google Scholar 

  • Van Holle V, Van Cauwenberg J, Van Dyck D, Deforche B, Van de Weghe N, De Bourdeaudhuij I (2014) Relationship between neighborhood walkability and older adults’ physical activity: results from the Belgian Environmental Physical Activity Study in Seniors (BEPAS Seniors). Int J Behav Nutr Phys Act 11:110

    Article  Google Scholar 

  • Worldometers (2020) Current World Population. https://www.worldometers.info/world-population/. Accessed 1 Nov 2020

  • Xu X et al (2018) Detection of hand-foot-mouth disease and its spatial-temporal Epidemiological characteristics with GIS platform. J Biol Regul Homeost Agents 32:371–377

    Google Scholar 

Important Websites

Further Reading or Relevant Book Chapter in “Handbook of Smart Materials, Technologies, and Devices”

  • Big data analytics and advanced technologies for sustainable agriculture

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Geography, Government College University, Faisalabad, Pakistan

    Syed Ali Asad Naqvi

  2. Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan

    Rubab Zahra Naqvi

Authors
  1. Syed Ali Asad Naqvi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rubab Zahra Naqvi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Syed Ali Asad Naqvi .

Editor information

Editors and Affiliations

  1. Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, NJ, USA

    Chaudhery Mustansar Hussain

  2. School of Science, University of Padova, Padova, Italy

    Paolo Di Sia

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Naqvi, S.A.A., Naqvi, R.Z. (2022). Geographical Information Systems (GIS) in Industry 4.0: Revolution for Sustainable Development. In: Hussain, C.M., Di Sia, P. (eds) Handbook of Smart Materials, Technologies, and Devices. Springer, Cham. https://doi.org/10.1007/978-3-030-84205-5_83

Download citation

Publish with us

Policies and ethics

Search

Navigation