Useful resources and answers to questions asked in the Growing GIS People session of New Zealand Esri User Conference 2022

2022 Conference Submissions

The size of the Africa Geospatial Analytics market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.99% during the forecast period.Geospatial analytics is a tool where the potential of location-based data, which is fast catching up in the African continent, is pooled to utilize the integration of the geographic information systems (GIS), global positioning systems (GPS), and remote sensing technologies. These empower organizations to interpret and make value out of spatial data for analytical purposes. Geospatial analytics analyzes patterns and trends as well as their relationships within geographic contexts that will give a more holistic understanding of complex phenomena.Geospatial analytics alters most aspects of life in these areas in Africa. It is helpful in optimizing crops and resources in precision farming. Farmers learn when to make agriculture decisions through analysis of data on soil quality, weather, and crop health for maximization of its produce. In urban planning, it helps in urban development, infrastructure planning, and disaster management. Mapping the pattern of growth for cities, identification of vulnerable areas, and even the optimization of resource allocation makes cities sustainable and resilient. Geospatial analytics is also important in natural resource management, environmental conservation, and climate change adaptation. Monitoring deforestation, tracking populations of wildlife, and assessing the impact of climate will help policymakers further strategize towards a more effective implementation of conservation. Africa is continuing to step into the technological fray, and the market for geospatial analytics is supposed to grow its presence multifold.From seemingly endless savannahs, countless forests, substantive natural riches, and burgeoning cities, Africa has much to harness from the insights offered by geospatial analytics: Address real challenges, unlock fresh opportunities, and drive sustainable development across the continent. Recent developments include: November 2022: A Memorandum of Understanding (MOU) was signed by SaskTel and Axiom Exploration Group to jointly explore opportunities to assist organizations throughout Saskatchewan in enhancing and modernizing their operations through the gathering and analysis of geospatial and other geophysical data., September 2022: A two-day conference on Data Analytics and visualization was held by Women in GIS Kenya in association with Pathways International, Esri Eastern Africa, Nakala Analytics, and the University of Nairobi, Department of Geospatial and Space Technology.. Key drivers for this market are: Commercialization of spatial data, Increased smart city & infrastructure projects. Potential restraints include: High costs associated with geospatial technologies. Notable trends are: Commercialization of Spatial Data.

Maps of California's Wildland Urban Interface (WUI) generated using the Time Step Moving Window (TSMW) method outlined in the paper "Remapping California's Wildland Urban Interface: A Property-Level Time-Space Framework, 2000-2020".

Please cite the original paper:

Berg, Aleksander K, Dylan S. Connor, Peter Kedron, and Amy E. Frazier. 2024. “Remapping California’s Wildland Urban Interface: A Property-Level Time-Space Framework, 2000–2020.” Applied Geography 167 (June): 103271. https://doi.org/10.1016/j.apgeog.2024.103271.

WUI maps were generated using Zillow ZTRAX parcel level attributes joined with FEMA USA Structures building footprints and the National Land Cover Database (NLCD).

All files are geotiff rasters with WUI areas mapped at a ~30m resolution. A raster value of null indicates not WUI, raster value of 1 indicates intermix WUI, and a raster value of 2 indicates interface WUI.

Three WUI maps were generated using structures built on of before the years indicated below:

2000 - "CA_WUI_2000.tif"

2010 - "CA_WUI_2010.tif"

2020 - "CA_WUI_2020.tif"

Acknowledgments -

We thank our reviewers and editors for helping us to improve the manuscript. We gratefully acknowledge access to the Zillow Transaction and Assessment Dataset (ZTRAX) through a data use agreement between the University of Colorado Boulder, Arizona State University, and Zillow Group, Inc. More information on accessing the data can be found at http://www.zillow.com/ztrax. The results and opinions are those of the author(s) and do not reflect the position of Zillow Group. Support by Zillow Group Inc. is acknowledged. We thank Johannes Uhl and Stefan Leyk for their great work in preparing the original dataset. For feedback and comments, we also thank Billie Lee Turner II, Sharmistha Bagchi-Sen, and participants at the 2022 Global Conference on Economic Geography, the 2022 Young Economic Geographers Network meeting, and the 2023 annual meeting of the American Association of Geographers. Funding for our work has been provided by Arizona State University's Institute of Social Science Research (ISSR) Seed Grant Initiative. Additional funding was provided through the Humans, Disasters, and the Built Environment program of the National Science Foundation, Award Number 1924670 to the University of Colorado Boulder, the Institute of Behavioral Science, Earth Lab, the Cooperative Institute for Research in Environmental Sciences, the Grand Challenge Initiative and the Innovative Seed Grant program at the University of Colorado Boulder as well as the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Numbers R21 HD098717 01A1 and P2CHD066613.