1/2 If you call 911 with your cell phone for help and cannot give an address or your location, then they might not be able to find you. I wrote FindMeSAR.com which is a simple web page that displays your coordinates and accuracy value.
2/2 The yellow screen displays the coordinate format 911 uses. FindMeSAR includes an icon you can save on your homescreen. The first time you open this web page you have to be online. Afterwards it works offline via 'appcache'. There is a “Tips” button with more information.
Thank you 👏 to everyone who is re-tweeting this information. By sharing this we will help save lives. And if you know anyone that works at all in first response, please let them know about #FindMeSAR.
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To change the basemap, click the button next to the “Menu” button. Basemaps I usually use are:
USA basemap
ESRI scanned topo USA
Open street map
3/ To turn on geolocation tap Menu > My location.
A symbol will appear and follow you as you move.
Tap that symbol to see your coordinates and accuracy value.
1/_ Calling 911 with a cell phone to get help? They might not know your location unless you tell them! FindMeSAR.com (I am developer) is a web page that uses the GPS in your phone to display your coordinates and accuracy value. #SearchAndRescue#DebrisFlow
2/_ Use it like so:
Browse to FindMeSAR.com
Tap “Next format” until the yellow screen appears
Wait a few seconds for the accuracy value to get to 30 feet or less
Tap ‘Stop” #EmergencyManagement
3/_ The yellow screen displays your location in latitude longitude, decimal degrees. Every 911 call center understands that coordinate format.
There is an icon you can save on your home screen.
1/_ Interactive #GIS map showing risk of #DebisFlow for wildland fires. For the legend and to get the most benefit from the map, please click “Map tips” in upper left corner. To search on address click Menu > Search. #CAwx
2/_ The map opens at the #CZULightningComplex. You can pan the map to other 2020 fires and see the same type of data. Be patient! The map might be slow to refresh. It depends in part on how much other work the GIS server is doing.
3/_ The map can display the risk of debris flow for fires back to 2017. Here is one way to make a map to see the risk of debris flow for a fire prior to 2020:
A. Click the basemap button and look under the “Overlays” heading
B. Click “Turn off all overlays”
1/_ Trump does not own Mar-a-Lago and is prohibited from living there by the 1993 agreement he signed and permits issued by the City of Palm Beach. See thread for links to source documents.
**I will post unroll link.**
2/_ In early 1993 Trump was the sole owner of Mar-a-Lago. He filed an application with the city to convert it into a private club since he was in financial trouble and the cost of upkeep was high.
3/_ Chronology
March 1993 - Application for a Special Exemption Use and Preservation Plan
April 1993 - Addendum to the application
November 1993 - Use Agreement
1/18 Yesterday @gregolear published an article by @ThatShockratees which has the potential to be a game-changer for the senate by preventing Mitch McConnell from stonewalling the Biden agenda.
This thread provides additional analysis, clarification and citation to authority.
2/18 I have gone full circle from endorsing the idea, to expressing great skepticism and, after additional research, am back on the endorsing side. My compliments to @ThatShockratees
The analysis below *assumes* Rs retain the senate majority.
3/18 The published article talks about two things.
1. Delegation of the task of presiding over the senate. 2. Decisions by presiding officer as to which senator is recognized to speak.
1/7 This tweet thread describes the authoritative USA county-level *daily count* COVID-19 data that is hosted on my server and which can be used by anyone for any non-commercial purpose. #COVID19#COVID#CovidData
2/7 #JohnsHopkinsUniversity is widely regarded as one of the primary sources for authoritative COVID-19 data. Hopkins curates this data from various sources and hosts it on GitHub at github.com/CSSEGISandData…
3/7 The #JohnsHopkins “timeseries” data is a *cumulative count* of cases and deaths. My code automatically runs each night and converts those cumulative counts into *daily counts*. I am hosting this daily count data in separate csv files per month.