Current tools: Graphing libraries / CMS database: data summarization / aggregation / graphing –MySQL database: over 15 million sensor data and image capture records –Data summarizations: to speed up large queries (hourly / daily / weekly / monthly) –Aggregation functions: for sensor data streams (max/min, average, total count, etc.) –PHP graphing script: to generate stacked, multivariate bitmap graphs on-fly CMS GUI: web-based data visualization interface –Graph creation: setup detailed plots step-by-step or tweak popular preset graphs –Surf through live datasets: click-and-zoom, pan, scroll, re-scale, and alter time intervals –Interactive sensor map: add / delete / modify plot traces geographically –Customize plots: rearrange data traces, adjust dimensions and units, reorder multiple plots Bird box Image Archive: web-based image browser –Live video feeds captures: stored directly into database every 15 minutes –Daily thumbnail summaries: for quick navigation and selection of specific frames On the horizon: Multimedia and Spatial Analysis Integration: –Multimedia fusion: Access to video/audio data streams within CMS GUI Side-by-side display of bird box image captures with sensor data plots Integrated visualization of multimedia and triggered sensor data collection (with ESS) –GIS-enabled maps / queries and visualization of spatial analyses: Allow selection of sites and measurements by elevation, geographic location, habitat types and other GIS-enabled spatial criteria 2D / 3D graphical display of interpolated point sensor data Animations / movies of interpolated sensors data over time With over a year of Continuous Measurement System (CMS) data now available from the James Reserve, the attention of the Habitat Sensing Team has shifted from basic sensor network functionality to the need for querying and visualizing large datasets - both for biological questions and system diagnostics. Second generation Extensible Sensor System(ESS) networks will be deployed later this year, both at the James Reserve and at the Gump Biological Research Station in French Polynesia. Several students and researchers are already planning to use ESS systems for their research projects, further necessitating the creation of an intuitive interface for the sensor network data sets. Given these common needs and goals, the James Reserve Habitat Sensing Team began collaboration on a web-based graphical interface for the James Reserve’s sensor and multimedia networks. Once completed, this tool will allow future system administrators to effectively maintain the sensor network and scientific researchers to utilize and visualize habitat data. Participants and collaborators: Michael Hamilton - James Reserve Director and CENS co-P.I., Michael Wimbrow - Lead Project Engineer, Kevin Browne - NRS Information Manager, Michael Taggart - CENS Field Engineer, and UCR graduate student Sean Askay. Challenges: Creating a data & systems visualization interface for CMS/ESS Challenges: Creating a data & systems visualization interface for CMS/ESS Work in Progress: Current tools and developments on the horizon Work in Progress: Current tools and developments on the horizon CMS Web Interface – Habitat Sensing Michael Wimbrow, Kevin Browne, Michael Taggart, Sean Askay and Michael Hamilton James Reserve Habitat Sensing Team – Introduction: Developing tools anyone can use Introduction: Developing tools anyone can use UCLA – UCR – Caltech – USC – CSU – JPL – UC Merced Center for Embedded Networked Sensing Powerful and flexible graphing tools for sensors data –Moving away from the traditional perspective of static graphing to dynamic, interactive data visualization –Developing interface-independent manipulation and navigation of graphs and datasets Web-interface design –Creating an interface that allows intuitive interaction with sensor systems and flexible data visualization –Building a modular design to allow for the integration of future features and multimedia components –Developing customized “modes” for the interface to address the specific needs of different user groups Image storage and data archiving –Balancing the flexibility of direct storage in the database with heavy space requirements of image data –Creation of an interface that allows quick navigation of image archives over low-bandwidth connections Graphing libraries and CMS database: Bird Box Image Archive CMS GUI