Welcome to the Spatial Reserves blog.
The GIS Guide to Public Domain Data was written to provide GIS practitioners and instructors with the essential skills to find, acquire, format, and analyze public domain spatial data. Some of the themes discussed in the book include open data access and spatial law, the importance of metadata, the fee vs. free debate, data and national security, the efficacy of spatial data infrastructures, the impact of cloud computing and the emergence of the GIS-as-a-Service (GaaS) business model. Recent technological innovations have radically altered how both data users and data providers work with spatial information to help address a diverse range of social, economic and environmental issues.
This blog was established to follow up on some of these themes, promote a discussion of the issues raised, and host a copy of the exercises that accompany the book. This story map provides a brief description of the exercises.
In a white paper entitled Transforming Our World: Geospatial Information Key to Achieving the 2030 Agenda for Sustainable Development, DigitalGlobe and Geospatial Media and Communications tie the need for geospatial data to meeting the UN Sustainable Development Goals.
On related topics, we have written about the UN resolution on geospatial data, and the UN Future Trends in geospatial information management, and in our book we wrote about the 8 Millennium Development Goals adopted by UN member states. The white paper brings together some key connections between the Sustainable Development Goals (SDGs) and GIS. The 17 goals include–no poverty, zero hunger, good health and well being, quality education, gender equality, clean water and sanitation, affordable and clean energy, decent work and economic growth, industry, innovation, and infrastructure, reduced inequalities, sustainable cities and communities, responsible consumption and production, climate action, life below water, life on land, peace and justice/strong institutions, and partnerships to achieve the goals. The 17 SDGs and the 169 associated targets seek to achieve sustainable development balanced in three dimensions–economic, social, and environmental. The article focuses on a topic that is central to this blog and our book--the need for data, specifically geospatial data, to monitor progress in meeting these goals but also to enable those goals to be achieved.
The report ties the success of the SDGs to the availability of geospatial data. One finding of the report was that many countries had not implemented any sort of open data initiatives or portals, which is an issue we have discussed here and in our book. The main focus of the report is to identify ways that countries and organizations can work on addressing the data gap, such as creating new data avenues, open access, mainstreaming Earth observation, expanding capacities, collaborations and partnerships, and making NSDIs (National Spatial Data Infrastructures) relevant. For more information on the authors of the paper, see this press release by Geospatial World.
I especially like the report because it doesn’t just rest upon past achievements of the geospatial community to make its data holdings available to decision makers To be sure, there have been many achievements. But one thing we have been critical of in this blog in our reviews of some data portals is that many sound fine in press releases, but when a data user actually tries to use them, there are many significant challenges, including site sluggishness, limited data formats and insufficient resolution, and the lack of metadata about field names, to name a few. The report also doesn’t mince words–there have been advancements, but the advancements are not coming fast enough for the decisions that need to be made.
The report’s main message is that the lack of available geospatial data is not just a challenge to people in the geospatial industry doing their everyday work, but that the lack of available geospatial data will hinder the achievement of the SDGs if not addressed fully and soon.
White paper connecting the UN Sustainable Development Goals (SDGs) to geospatial information, from DigitalGlobe and Geospatial Media and Communications.
As we have pointed out in this blog, we have had the capability to create story maps (multimedia-rich, live web maps) for a few years now, and we have also had the capability to collect data via crowdsourcing and citizen science methods using a variety of methods. But now the capability exists for both to be used at the same time–one way is with the new crowdsourcing story map app from Esri.
The crowdsource story map app joins the other story map apps that are listed here. To get familiar with this new app, read this explanation. Also, you might explore a new crowdsourced story map that, after selecting “+ Participate”, prompts you for your location, photograph, and a sentence or two about attending, in this case, the Esri User Conference. If you did not attend, examining the application will give you a good sense for what this new app can do.
It’s not just this story map that has me interested. It is that this long-awaited capability is now at our fingertips, where you can, with this same app, create crowdsourced story maps for gathering data on such things as tree cover, historic buildings, noisy places, litter, weird architecture, or something else, on your campus or in your community. It is in beta, but feel free to give this crowdsourcing story map app a try.
We have also discussed location privacy concerns both here and in our book. The story Map Crowdsource app is different from the other Story Maps apps in that it enables people to post pictures and information onto your map without logging in to your ArcGIS Online organization. Thus, the author does not have complete control over what content appears in a Crowdsource story. Furthermore, the contributor’s current location, such as their current street address or locations they have visited, can be exposed in a Crowdsource app and appear with their post in these maps as a point location and as text. This may be fine if your map is collecting contributions about water quality, invasive plant species, or interesting places to visit in a city, where these location are public places. But it may not be desirable for other subject matter or scenarios, especially if people may be posting from their own residence.
Thus, it is up to you as the author of a Story Map Crowdsource app to ensure that your application complies with the privacy and data collection policies and standards of your organization, your community, and your intended audience. You might wish to set up a limited pilot or internal test of any Story Map Crowdsource project before deploying and promoting it publicly in order to review if it meets those requirements. And for you as a user of these maps, make sure that you are aware that you are potentially exposing the location of your residence or workplace, and make adjustments accordingly (generalizing your location to somewhere else in your city, for example) if exposing these locations are of concern to you).
Thus, the new crowdsource story map app is an excellent example of both citizen science and location privacy.
In our book and in this blog, we often focus on crowdsourcing, citizen science, and the Internet of Things. Mapillary, a tool that allows anyone to create their own street level photographs, map them, and share them via web GIS technology, fits under all three of these themes. The idea behind Mapillary is a simple but powerful one: Take photos of a place of interest as you walk, bicycle, or drive using the Mapillary mobile app. Next, upload the photos to Mapillary again using the app. Your photos will be mapped and connected with other Mapillary photos, and combined into street level photo views. Then you can explore your places and those from thousands of other users around the world.
Mapillary is part of the rapidly growing crowdsourcing movement, also known as citizen science, which seeks to generate “volunteered geographic information” content from ordinary citizens. Mapillary forms part of the Internet of Things (IoT) because people are acting as sensors across the global landscape using this technology. Mapillary is more than a set of tools–it is a community, with its own MeetUps and ambassadors. Mapillary is also a new Esri partner, and through an ArcGIS integration, local governments and other organizations can understand their communities in real-time, and “the projects they’re working on that either require a quick turnaround or frequent updates, can be more streamlined.” These include managing inventory and city assets, monitoring repairs, inspecting pavement or sign quality, and assessing sites for new train tracks. One of Mapillary’s goals was to provide street views in places where no Google Street Views exist.
Many organizations are using Mapillary: For example, the Missing Maps Project is a collaboration between the American Red Cross, British Red Cross, Médecins Sans Frontières-UK (MSF-UK, or Doctors Without Borders-UK), and the Humanitarian OpenStreetMap Team. The project aims to map the most vulnerable places in the developing world so that NGOs and individuals can use the maps and data to better respond to crises affecting these areas.
Using the discovery section on Mapillary, take a tour through the ancient city Teotihuacán in Mexico, Astypalaia, one of the Dodecanese Islands in Greece, Pompeii, or Antarctica. After you create an account and join the Mapillary community, you can access the live web map and click on any of the mapped tracks.
Mapillary can serve as an excellent way to help your students, clients, customers, or colleagues get outside, think spatially, use mobile apps, and use geotechnologies. Why stop at streets? You could map trails, as I have done while hiking or biking, or map rivers and lakes from a kayak or canoe. There is much to be mapped, explored, studied, and enjoyed. If you’d like extra help in mapping your campus, town, or field trip with Mapillary, send an email to Mapillary and let the team know what you have in mind. They can help you get started with ideas and tips (and bike mounts, if you need them).
For about two years, I have been using Mapillary to map trails and streets. I used the Mapillary app on my smartphone, generating photographs and locations as I hiked along. One of the trails that I mapped is shown below and also on the global map that everyone in the Mapillary community can access. I have spoken often with the Mapillary staff and salute their efforts.
We look forward to hearing your reactions and how you use this tool.
With the recent announcement of the first Tango-enabled smart phone, Google have taken a big step towards providing a crowd-sourced, indoor mapping solution. The phone’s inbuilt sensors and cameras capture the dimensions of a location and everything inside it, including the furniture. Once captured, all that internal detail becomes a potential back drop for a variety of augmented and virtual reality applications, including interior design and construction, shopping, education and gaming.
Although the data files collected are stored on each phone, Google hopes users will share their Tango data. Perhaps most appealing for Google, although not yet confirmed, the internal data collected and shared by Tango users will provide another platform for expanding their custom advertising and services.
As with other forms of location-based data, there are privacy implications to consider; it’s no longer just where you are or have been, that’s being shared, it is potentially detailed information about your home, your visits to other locations and what you did and saw there. Just how far people will be prepared to trade this new source of location data for services remains to be seen, but given the success of Google Maps and the increasing demand for better internal location information, Tango could help transform the indoor mapping scene.
A few years ago we wrote about the geospatial data available from the Global Forest Watch from WRI. Global Forest Watch (GFW) is a dynamic forest monitoring system that provides aims to provide “timely and reliable” information about the state of the world’s forests. Using a combination of satellite imagery, open access data, and crowd sourced information, GFW builds on earlier projects such as the Forest Frontiers Initiative and the Forest Atlases. These are included in the case studies that we highlighted in our book, The GIS Guide to Public Domain Data, which promotes the sustainable management of forest resources.
One way to access the geospatial data available from GFW is to access the interactive map, select the layers you are interested in, and download them (shown below). The layers are organized into broad categories such as forest change, land cover, land use, conservation, and people, but the interface is easy to navigate. Besides the Graphical User Interface improvements since our first review of the site, many of the GFW layers can now be streamed via ArcGIS Online. To access the layers in this way, use the Open Data Portal and you will see the option for featured data sets or all data. At the time of this writing, 107 layers were available, many of which can be opened directly in ArcGIS Online. API links to GeoJSON URLs are also provided.
I did find a few data links, such as mining, that point to “not found” – but by and large, the site is wonderfully functional and has nicely expanded its capabilities since we first reviewed it. We would be interested in your feedback in the comments section, below.