Having just spent a week with over 14,000 people at the annual Esri GIS Education Conference and the Esri International User Conference, it was plainly evident that the themes we examine in The GIS Guide to Public Domain Data book remain at the forefront of the conversations that the GIS community is having. We would also argue that these themes need to be a part of these conversations. First, spatial data is rapidly becoming ubiquitous on just about every electronic device that we use for work and for play. Second, with ArcGIS Online and other tools, we are now firmly in an era where every data consumer is also a data producer. Third, with this avalanche of data and citizen science capabilities comes an increasing responsibility to use and produce data wisely. Lastly and most importantly, as this slide that Esri President Jack Dangermond showed as part of the plenary (videos here) illustrates, we cannot afford to be complacent. The world is changing, and pressing issues of biodiversity, climate, population, food, water, natural hazards, and others need to be solved. We won’t be able to effectively make decisions about these issues and plan for the future unless we understand spatial data.
In a recent essay, Erik Shepard claims that geospatial advances drive the big data problem but also its solution: http://www.sensysmag.com/article/features/27558-geospatial-advances-drive-big-data-problem,-solution.html. ” The expansion of geospatial data is estimated to be 1 exabyte per day, according to Dr. Dan Sui. Land use data, satellite and aerial imagery, transportation data, and crowd-sourced data all contribute to this expansion, but GIS also offers tools to manage the very data that it is contributing to.
We discuss these issues in our book, The GIS Guide to Public Domain Data. These statements from Shepard are particularly relevant to the reflections we offer in our book: “Today there is a dawning appreciation of the assumptions that drive spatial analysis, and how those assumptions affect results. Questions such as what map projection is selected – does it preserve distance, direction or area? Considerations of factors such as the modifiable areal unit problem, or spatial autocorrelation.”
Indeed! Today’s data users have more data at their fingertips than ever before. But with that data comes choices about what to use, how, and why. And those choices must be made carefully.
Recent events in Colorado have once again highlighted just how important it is to have access to current and accurate spatial data when faced with extreme events such as wildfires.