The mapviews extension enhances CKAN by adding the capability to display data as interactive maps, including both regular maps and choropleth maps. By utilizing LeafletJS, which offers broad browser compatibility, the extension allows users to visualize datasets geographically. This enhances data exploration and understanding within the CKAN platform. Key Features: Regular and Choropleth Maps: Enables visualization of datasets on maps, offering both standard map views and choropleth maps that represent data variations across geographic regions. LeafletJS Integration: Leverages LeafletJS, a JavaScript library, to create interactive and responsive maps, ensuring compatibility with a wide range of web browsers (IE7+ and modern browsers). GeoJSON Support: Supports GeoJSON format for defining geographical boundaries and features, allowing integration with various GIS data sources. Data Linking: Provides a mechanism to link data from a tabular resource to geographical features in a GeoJSON resource, allowing for data-driven map visualizations. Interactive Filters: Allows filtering of data based on regions clicked on the map. URL Redirection: Can redirect to another page with filters set based on the region clicked, enhancing navigation within a CKAN instance to resources that relate to the region. Integration with CKAN: The extension integrates with CKAN by providing new Resource View types, navigablemap and choroplethmap. These views can be added to resources within CKAN datasets. The extension utilizes CKAN's plugin system, requiring activation via the ckan.plugins configuration setting, and makes use of the Resource View functionality. Benefits & Impact: The mapviews extension provides enhanced data visualization capabilities within CKAN, allowing users to explore and understand spatial data more effectively. The interactive maps, can help reveal patterns, trends, through geographic data. The filtering capabilities further promote data discovery and analysis, enabling the user to examine regional variations in that are represented within the data which may include social, economic, or environmental factors.

The Flood Inundation Mapping (FIM) Visualization Deck is a web-based application designed to display and compare flood extent and depth information across various temporal and scenario conditions. It provides a front-end interface for accessing geospatial flood data and interacting with mapped outputs generated from hydraulic modeling.

Core Functions: • Flood Extent Mapping: Visualizes flood extents from modeled scenarios (e.g., 2-year, 10-year, 100-year events) and real-time conditions based on streamflow observations or forecasts. • Flood Depth Visualization: Displays depth rasters over affected areas, derived from hydraulic simulations (e.g., HEC-RAS). • Scenario Comparison: Allows side-by-side viewing of multiple FIM outputs to support calibration or decision analysis. • Layer Management Toolbox: Users can toggle basemaps, adjust layer transparency, load datasets, and control map extents.

Data Inputs: • Precomputed flood inundation extents (raster/tile layers) • Depth grids • Stream gauge metadata • Associated hydraulic model outputs

Technical Stack: • Front-end: Built with JavaScript, primarily using Leaflet.js for interactive map rendering. • Back-end Services: Uses GeoServer to serve raster tiles and vector layers (via WMS/WFS). Uses OGC-compliant services and REST endpoints for data queries. • Data Formats: Raster layers (e.g., GeoTIFF, PNG tiles), vector layers (GeoJSON, shapefiles), elevation models, and model-derived grid outputs. • Database: Integrates with a PostgreSQL/PostGIS backend or similar spatial database for hydrologic and geospatial data management. • Deployment: Hosted via University of Iowa infrastructure, with modular UI elements tied to specific watersheds or study areas.

The datasets used for this manuscript were derived from multiple sources: Denver Public Health, Esri, Google, and SafeGraph. Any reuse or redistribution of the datasets are subjected to the restrictions of the data providers: Denver Public Health, Esri, Google, and SafeGraph and should consult relevant parties for permissions.1. COVID-19 case dataset were retrieved from Denver Public Health (Link: https://storymaps.arcgis.com/stories/50dbb5e7dfb6495292b71b7d8df56d0a )2. Point of Interests (POIs) data were retrieved from Esri and SafeGraph (Link: https://coronavirus-disasterresponse.hub.arcgis.com/datasets/6c8c635b1ea94001a52bf28179d1e32b/data?selectedAttribute=naics_code) and verified with Google Places Service (Link: https://developers.google.com/maps/documentation/javascript/reference/places-service)3. The activity risk information is accessible from Texas Medical Association (TMA) (Link: https://www.texmed.org/TexasMedicineDetail.aspx?id=54216 )The datasets for risk assessment and mapping are included in a geodatabase. Per SafeGraph data sharing guidelines, raw data cannot be shared publicly. To view the content of the geodatabase, users should have installed ArcGIS Pro 2.7. The geodatabase includes the following:1. POI. Major attributes are locations, name, and daily popularity.2. Denver neighborhood with weekly COVID-19 cases and computed regional risk levels.3. Simulated four travel logs with anchor points provided. Each is a separate point layer.

A web-enabled brain surface viewer that allows the user to explore in real time a 3D brain map expressed on a base surface. BrainBrowser has two modes of operation, exploring either a pre-calculated database of structural correlation maps or working with user-defined data. In this mode, the user may choose to explore the correlation structure for cortical thickness, cortical area or cortical volume, or any other pre-calculated metric. In the second mode, the user is prompted for the local filenames of the statistical map and the base surface. BrainBrowser can also be used to manipulate 3D fibre pathways derived from DTI, using the same simple file format (.obj) as for surface data. BrainBrowser on Youtube: http://www.youtube.com/watch?v=HlRTUYUf1Ew NOTE: BrainBrowser requires a WebGL-enabled browser such as Google Chrome to support its 3D graphics capability.

The geojsonview extension for CKAN provides a simple and direct way to visualize GeoJSON resources directly within the CKAN interface. By leveraging the Leaflet JavaScript library, this extension renders geospatial data from GeoJSON files, making it easier for users to explore and understand geographic datasets. It offers a streamlined solution for integrating interactive maps into CKAN-powered data portals. Key Features: GeoJSON Visualization: Enables the display of GeoJSON resources as interactive maps within CKAN's resource views. Leaflet Integration: Utilizes the Leaflet JavaScript library for rendering maps, providing a lightweight and efficient mapping experience. CKAN Integration: Seamlessly integrates with CKAN's resource view system, allowing users to view GeoJSON data alongside other resource formats.