Data-driven approach to informed decision making
Terms and conditions
By accessing the AIS Explorer, you agree to the following terms and conditions:
The contents of this app, including without limitation all data, information, text, graphics, links and other materials are provided to our app users for educational, informational and research purposes only. You are not permitted to reproduce, adapt, distribute or incorporate the AIS Explorer in any other work, in whole or in part, without written permission from MAISRC.
To the extent permitted by law, you agree that:
You agree to appropriately acknowledge the app and its developers using the below citation:
Minnesota Aquatic Invasive Species Research Center. "AIS Explorer".
www.aisexplorer.umn.edu
. Accessed date.
Statistical information and cookies
We collect statistical information about your visit to our website to help us improve it via Google Analytics. This information does not identify individuals and makes use of cookies.
Cookies
This website uses cookies for the purpose of monitoring website usage. A cookie is a piece of code that creates a file on your computer to track the pages that you view on our website. The cookies do not collect personal information. You can disable them or clear them out of your web browser (using your browser settings) without affecting your ability to use the website.
Google Analytics
We use Google Universal Analytics to collect and analyse details about the use of our website.
The information Google Analytics collects includes:
Individual visitors to the website are not identified. You may opt-out from having Google Analytics collect your information by disabling cookies in your browser, or by installing the Google Analytics Opt-out browser add-on. The data is collected and stored on the Google server and is viewable by authorised staff as detailed in the Google Analytics privacy policy. We do not share this information with any other organisation.
Risk associated with the likelihood of introduction and establishment of selected species within eight years. The predicted risk ranges from 0 to 1, where currently infested lakes are designated by a 1.
The model considers probability of spread through water connectivity, boater movement and habitat suitability.
Risk score describes the probability that a lake becomes infested within eight years.
Current infestation status designates a lake as infested (infestation confirmed) or uninfested (not known to be infested).
Network within boundaries defines whether lakes from different (not currently selected) counties or tribal boundaries will be included in the risk network visualization.
Show top 10 connections will show only the ten most highly connected pairs of lakes for the lake selected.
Location boundaries outline the counties or tribal boundaries within Minnesota and allows the user to filter the outputs to a county or tribal boundary of interest.
Location names will show the location (county or tribal boundary) name.
The location selection option allows the user to filter outputs to include only the county or tribal boundaries of interest. Please note that selecting multiple counties or tribal boundaries will increase the map loading time.
Sources:
*Treaty of 1854 Ceded Territory sourced directly from the 1854 Treaty Authority
If you have feedback on the location boundaries, please contact aisexplorer.umn.edu
Created for the Minnesota Aquatic Invasive Species Research Center at University of Minnesota
Developed by EPI-interactive
Funding provided by the Minnesota Environment and Natural Resources Trust Fund as recommended by the legislative-Citizen Commission on Minnesota Resources (LCCMR)
Terms and conditions
By accessing the AIS Explorer, you agree to the following terms and conditions:
The contents of this app, including without limitation all data, information, text, graphics, links and other materials are provided to our app users for educational, informational and research purposes only. You are not permitted to reproduce, adapt, distribute or incorporate the AIS Explorer in any other work, in whole or in part, without written permission from MAISRC.
To the extent permitted by law, you agree that:
You agree to appropriately acknowledge the app and its developers using the below citation:
Minnesota Aquatic Invasive Species Research Center. "AIS Explorer".
www.aisexplorer.umn.edu
. Accessed date.
Statistical information and cookies
We collect statistical information about your visit to our website to help us improve it via Google Analytics. This information does not identify individuals and makes use of cookies.
Cookies
This website uses cookies for the purpose of monitoring website usage. A cookie is a piece of code that creates a file on your computer to track the pages that you view on our website. The cookies do not collect personal information. You can disable them or clear them out of your web browser (using your browser settings) without affecting your ability to use the website.
Google Analytics
We use Google Universal Analytics to collect and analyse details about the use of our website.
The information Google Analytics collects includes:
Individual visitors to the website are not identified. You may opt-out from having Google Analytics collect your information by disabling cookies in your browser, or by installing the Google Analytics Opt-out browser add-on. The data is collected and stored on the Google server and is viewable by authorised staff as detailed in the Google Analytics privacy policy. We do not share this information with any other organisation.
The County option allows the user to filter outputs to include only the county of interest.
This selection filters the outputs to include a specific management threshold determined by the percentage of boats that move from infested waterbodies to uninfested waterbodies and are inspected.
The use of a 60% default is for demonstration purposes and should be modified to fit local management initiatives.
The invasive species selected are all considered equal priority in the analysis.
A risky boat is defined as any watercraft moving from an infested lake to an uninfested lake.
For the current active county, only paired planning is available. For further information, click here.
This dashboard is intended to support decision-making related to aquatic invasive species surveillance and watercraft inspection activities.
Prepared for the Minnesota Aquatic Invasive Species Research Center at University of Minnesota.
Dr. Nicholas Phelps - Director, Minnesota Aquatic Invasive Species Research Center and Assistant Professor, Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota
Dr. Amy Kinsley - Assistant Professor, Department of Veterinary Population Medicine, University of Minnesota
Szu-Yu (Zoe) Kao - PhD Candidate
Developed by Epi-interactive
Funding provided by the Minnesota State Legislature, and the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR).
If you have feedback on the performance or outputs of the AIS Explorer, please contact: aisexplorer@umn.edu.
For more information about the Minnesota Aquatic Invasive Species Research Center visit the website www.maisrc.umn.edu or contact maisrc@umn.edu
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