A CSV spreadsheet file can become the basic building block of a Feature Service, capable of holding existing or inbound data. Follow the steps below to create a simple time-enabled GIS feature service bucket for… More
I’m delighted to share a chapter with Curtis and Millsaps in this new book from Shin and Bednarz!
Spatial Citizenship Education: Citizenship through Geography (Shin and Bednarz, 2019) is the inaugural book exploring the contribution of geographic education (and geographic technologies and spatial thinking) to the development of the citizen. It describes citizenship development through a rich understanding of spatial and geographic narratives. The book includes a history of geographic education as well as theoretical and conceptual elements of the work of geography education. Geography teachers, teacher educators, and GIS education researchers should consider this volume as a critical contribution to their well-rounded library.
- Conceptualizing spatial citizenship
- Geography as a social study
- Geography, capabilities, and the educated person
- The spatial production and navigation of vulnerable citizens
- Citizenship education in a spatially enabled world
- Rediscovering the local
- Cultivating student citizens
- Geotechnologies and the spatial citizen
- Informed citizenry starts in the preschool and elementary grades – and with geography
- Spatial citizenship in the secondary geography curriculum
- Spatial citizenship in the geography/social studies teacher education
Amazon link to the book.
Originally published November 12, 2018 on LinkedIn.
Geotagged images are taken constantly, usually by people with smartphones, perhaps even by people unaware that latitude-longitude information is embedded in the header of the images. For many casual users, seeing these images in a smartphone’s built-in Photo app with a simple map feature is all the mapping they’ll want. But for the carto-literati, nothing short of a photo-map service and map will suffice.
This post walks through Python 3 code that uses the Python Imaging Library (PIL) and ArcGIS Online API for Python to extract geotag info, build a CSV, and publish the data out as an ArcGIS Online data service. The required software stack looks like this:
- Python 3.x
- Jupyter Notebooks
- ArcGIS Online API for Python
- This workflow also assumes your images are stored in a local Dropbox folder(or similar file synchronization tool).
The sample Python code can be found on GitHub. The sample of the ArcGIS Online map is above and in the article header graphic. After getting the stack installed, you’ll need to download the sample script and enter your:
- Local Dropbox folder path
- Web URL to the shared Dropbox folder
- Your ArcGIS Online details
My sample images included 150+ iPhone images of a recent trip to Italy. The first block of Python code uses PIL to read the image headers and write out a CSV to the root image folder. Because the images are local, this section of the script runs very quickly. You can stop here if you just want the CSV file or run the second code block to publish the CSV to your ArcGIS Online account. From there, add your new map layer to a map and share! Your markers will be clickable with a link to your images.
Using geotagged images can be a great way to capture verifiable data in a project-based learning or citizen science exercise. Students can collect data with photographs, share their images to a DropBox file request, and then use this script to map the pictures.
We created this book for educators who want to do research with learners –typically
classroom teachers working with their students in Earth Systems or Environmental Science, Geography, or History. The book would also be useful to those running outdoor education or field research programs for students of all ages; however, as the title suggests, we do focus on tech-enabled methods, tools, and analysis. Most of the content assumes that the research will be conducted outside or “in the field”. We believe it will provide powerful justification to include these projects in your classes. we believe this volume would make a great addition to any reference library on field research techniques.
Chapters in edition two include:
- What are field studies and why use them?
- Designing a field study
- Data, Data, Data
- Field Instruments
- ArcGIS Online and Field Studies
- Geotagging Images for Field Studies
- Survey123 Web
- Creating an Editable Feature Service in ArcGIS Online
- Editable Feature Services and ArcGIS Desktop
- Mapping and Data Analysis in ArcGIS for Desktop
Most authors whose books sell on Amazon today, have an authors page. It’s an easy way to review the author’s titles. You can view my very modest page on Amazon at http://amazon.com/author/trbaker
The experimental GeoInquiry search tool allows an instructional designer or advanced GeoInquiry user to search GeoInquiry maps and data for keywords (and optionally add that data to their own map). The tool includes all Esri produced geoinquiries but also state GeoInquiries content.
For example, a search for “climate” will search the metadata (including title and description) of about 150 maps and nearly 1,000 data services while ignoring all non-GeoInquiry content in ArcGIS Online.
The database behind the tool is updated twice monthly to reflect the latest changes in map and data service metadata. Explore the tool at http://edgis.org/geoinquirysearch