IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v16y2016i3p613-631.html
   My bibliography  Save this article

Hot and cold spot analysis using Stata

Author

Listed:
  • Keisuke Kondo

    (Research Institute of Economy, Trade and Industry)

Abstract

Spatial analysis is attracting more attention from Stata users because of the increasing availability of regional data. In this article, I present an imple- mentation of hot and cold spot analysis using Stata. I introduce the new command getisord, which calculates the Getis–Ord G∗i(d) statistic. To implement this command, one only needs the latitude and longitude of regions as the additional required information. In combination with shape files, the results obtained from the getisord command can be visually displayed in Stata. In this article, I also offer an interesting illustration to explain how the getisord command works. Copyright 2016 by StataCorp LP.

Suggested Citation

  • Keisuke Kondo, 2016. "Hot and cold spot analysis using Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 613-631, September.
    • Handle: RePEc:tsj:stataj:v:16:y:2016:i:3:p:613-631
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj16-3/st0446/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0446
    File Function: link to article purchase
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sascha O. Becker, Sascha O & Voth, Hans-Joachim, 2023. "From the Death of God to the Rise of Hitler," The Warwick Economics Research Paper Series (TWERPS) 1478, University of Warwick, Department of Economics.
    2. Becker, Sascha O. & Voth, Hans-Joachim, 2023. "From the Death of God to the Rise of Hitler," CAGE Online Working Paper Series 688, Competitive Advantage in the Global Economy (CAGE).
    3. Obschonka, Martin & Lee, Neil & Rodríguez-Pose, Andrés & Eichstaedt, johannes Christopher & Ebert, Tobias, 2018. "Big Data, artificial intelligence and the geography of entrepreneurship in the United States," OSF Preprints c62tn, Center for Open Science.
    4. Hooijen, Inge & Bijlsma, Ineke & Cörvers, Frank & Poulissen, Davey, 2020. "The geographical psychology of recent graduates in the Netherlands: Relating enviornmental factors and personality traits to location choice," Research Memorandum 003, Maastricht University, Graduate School of Business and Economics (GSBE).
    5. Luigi Aldieri & Concetto Paolo Vinci, 2017. "Theoretical and Empirical Foundations of Energy Production Efficiency Activity," International Business Research, Canadian Center of Science and Education, vol. 10(9), pages 39-49, September.
    6. Nielsen, Hana, 2021. "Coal and Sugar: The Black and White Gold of Czech Industrialization (1841-1863)," Lund Papers in Economic History 229, Lund University, Department of Economic History.
    7. Khanal, Nabin Babu & Elbakidze, Levan, 2023. "Per-and polyfluoroalkyl substances (PFAS) in Drinking Water: Evaluation of exposure in the US," 2023 Annual Meeting, July 23-25, Washington D.C. 336001, Agricultural and Applied Economics Association.
    8. Martin Obschonka & Neil Lee & Andrés Rodríguez-Pose & Johannes C. Eichstaedt & Tobias Ebert, 2020. "Big data methods, social media, and the psychology of entrepreneurial regions: capturing cross-county personality traits and their impact on entrepreneurship in the USA," Small Business Economics, Springer, vol. 55(3), pages 567-588, October.
    9. Luigi Aldieri & Concetto Paolo Vinci, 2018. "An assessment of energy production efficiency activity: a spatial analysis," Letters in Spatial and Resource Sciences, Springer, vol. 11(3), pages 233-243, October.
    10. Andreas Ferrara & Price V. Fishback, 2020. "Discrimination, Migration, and Economic Outcomes: Evidence from World War I," NBER Working Papers 26936, National Bureau of Economic Research, Inc.
    11. Yu, Yantuan & Peng, Chong & Li, Yushuang, 2019. "Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 456-465.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:16:y:2016:i:3:p:613-631. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.