Curate data collected in the field alongside environmental data from third party sources. Collaborate and share your newfound knowledge. myObservatory is your dependable resource to gain insight and achieve better results. Watch Intro Video
A few of the features of myObservatory are summarized here. You will find these tools plus many more in myObservatory.
Assign location tags to any data type with our built-in GPS function. We make it easy to view, edit, sort or plot your data on a map, from image files captured with your mobile device to individual entries in excel datasets.
An example of a GPS-tagged photo being recalled from the map.
Draw and place shapes on the map to group and organize your ecosystem data by regions of interest. Custom shapes can depict areas such as fields, watersheds, forests, rivers, wells, urban or natural habitats and more.
Using Hand Drawn Shapes to delineate important regions.
Design and deploy data collection forms with custom fields to create unique data objects. Create your own data fields or mark suggested fields as required or optional. Input text, numbers, dates and date ranges, photos, or videos and enable helpers to collect data though our mobile application without compromising security.
A data collection form in an iPad view.
Estimate what values would be for nearby points that you have not actually sampled using geographic data interpolation techniques. This can be used to estimate contaminant spread, elevations, water depth, moisture, or any data point that's spread out over an area. Our interpolation system uses industry-standard Inverse Distance Weighting (IDW) and we are developing Kriging-based interpolations for even more accurate interpolative estimates.
Soil compaction (PSI), measured with handheld GPS-enabled penetrometer, interpolated over an area. 1" depth (left); 12" depth (right).
Comprehensive statistical analysis with reports such as basic summary, histograms, scatter plots, frequency diagrams, box plots [can we clarify what is this or remove], and time-series plots. Data may be plotted and cross-plotted across different data types on the same chart (such as volumes over time or location).
A few example statistical plots. Left: a scatter plot showing air temperature versus water temperature at a stream; Right: a frequency diagram of water temperature.
Raster Animation gives you the ability to upload special data sets composed of georeferenced imagery (e.g. GeoTIFF files), in a specific structure for different observations through time. The map then has a specialized viewer that lets you view this data in a colored overlay, with an animation feature letting you cycle through the different "aspects" of the data (e.g. depth, or time).
If you have data sampled regularly across a physical region, the Interpolation Viewer feature will assemble a graphic representation of that data, interpolating to fill in the missing pieces based on the data that you've collected. Right now this is performed using the Inverse Distance Weighting geostatistical approach, but additional interpolation methods such as Kriging are in development.
Once you have uploaded numeric data that has record-level locations for a given set of stations in a dataset, you may enable interpolations for that dataset, which will let you use the interpolation viewer shown below. If your samples cover a varied time range as well, you may animate through time or through the different stations in your interpolation-enabled dataset.
Professional and Premium subscriptions have the ability to define advanced locations. This includes using Hand-Drawn Shapes as a data "location", useful for easily organizing data within arbitrary geographic regions like fields and paddocks. You also gain the ability to use Zone Grids, which is a tool allowing you to define a grid over a geographic region composed of up to 10 rows and columns. This provides a simple and easy scaffolding for easily marking the location of data and observations within a field with more granularity than simply within the field, but without the annoyance of needing to record specific latitude and longitude locations for each individual observation. In other words, Zone Grids provide you with a middle ground of location granularity between being in a certain field, and having a specific latitude and longitude.
Quality Assurance tools allow you to ensure data is clean and valid within myObservatory. This can include making sure there are no typos, e.g. non-numeric characters for number values, as well as making sure numbers make sense (valid range, proper units, and so forth). Statistical tools also allow you to flag severe outliers or other key points. These tools can also be used to quickly check for "nodata" values from weather stations such as temperatures of -9999. When a QA test is triggered for a value, it can be considered a failure (prevents publishing), or a warning (which can be a positive or negative thing - warnings just highlight certain data). Customizable tests are intended to be very flexible and may be defined in a variety of ways as shown below.
Professional and Premium subscriptions gain access to a step by step tool to view and access data, including packaging it with all attached files into a direct download for local use.
he Advanced Statistics features allow you to generate univariate statistics, view time series plots, and view cross plots for any combination of data stations and locations, including several sets of data on the same plot when desired. This is a powerful set of analysis tools for finding relationships and trends.
Premium subscriptions are able to set locations at the record level, in addition to just at the dataset and station level. This opens the door to additional advanced features such as interpolations.
The Hand Drawn Shapes ability lets you draw custom map details, such as outlining field boundaries, adding points of interest, or denoting other key areas. The shapes that you draw using this feature can be used as a "location" for other uploaded data, making these shapes valuable as containers for organizing data within fields, paddocks, or other logical boundaries. You may also upload KML files (e.g. from Google Earth ™) into this feature for use.
The ability to upload KML files (e.g. from Google Earth™) will let you show reference material on the map. This is handy for reference material that won't be used as a "location" for other datasets (in which case the Hand Drawn Shapes feature is more appropriate, which can also import KML files).
The Three File Template is a specialized set of Excel template files which are very convenient for organizing data for upload to myObservatory. It is structured as a file for datasets, a file for stations, and a file for records. This allows you upload multiple different datasets and/or stations in one operation, and makes uploading and continuing to upload incoming regularly-formatted data easy. It was modelled after common ways of storing streamflow and weather station data.
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