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Not somebody who's done the right things or checked the right boxes, always looking for the next promotion. ![]() What I would look for usually is not the resume builder. Our first hire was famously our worst hire, and we had to move on pretty quickly from them. We made so many mistakes, so a lot of what I'm saying today is hindsight 20/ 20 and taking those lessons learned. Knox: If you aren’t looking for someone’s professional experience, how do you find the right mindset and talent?īouton: It's really hard. Initially that meant he started with finance and marketing, while I focused on sales and supply chain. Those are the critical things in finding a successful business partner, as opposed to “he's great at marketing and I'm great at supply chain.” Justin and I complemented each other so it allowed us to be great partners and divide things up. It’s more important to have similar work ethics, similar passions, and similar ways of styles of working. Nothing is rocket science and anything can be learned. It’s just my two cents, but I couldn't disagree more. Knox: With both of you coming from a background on the legal side, how did you divide up what you’d each focus on with Halo Top?īouton: A lot of people get caught up on this about trying to find somebody with complementary skill sets. We thought the product was the best thing since sliced bread and if we just got it out there, it would fly off shelves. I took the leap of faith, and I think both of us naively thought it would be easy. He needed a partner to help raise money and scale the business. As I was getting ready to quit my current law firm, he told me about this healthy ice cream he had made in his kitchen. He was a lawyer as well and we met in a lawyer basketball league of all places. My former business partner, Justin Woolverton, the founder of Halo Top, created the original recipe in his home kitchen. ![]() ![]() ![]() If you approximate the earth's surface as a sphere, then the formulae should be x = sin(pi/2-lat) * cos(lon) If your positions only cover a small patch of the Earth, the errors may be acceptable to you.Ī second approach is to convert the longitude and latitude to (x, y, z) coordinates in 3d space. A good reference is Map Projections: A Working Manual. You should read about different map projections to see what you may be losing. However, this doesn't perfectly preserve spatial relationships because longitude and latitude are on a sphere (or an ellipsoid or geoid), and x,y coordinates are on a flat surface. Then, simply rescale your coordinates to be in the range. To do this, you can use the pyproj library. One obvious approach is to project it to some appropriate flat coordinate system. It depends on what metric you need to preserve. 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X, y = utm.from_latlon(input_lat, input_lon) The below conversion example would become: import utm easting, northing ordering for the respective from_latlon and to_latlon functions, per the docs. There isn't nearly as much difference in geographic coordinate systems such as WGS84.If utm coordinates are suitable for your purposes, then note that in lieu of pyproj, the utm package is now available and is simpler to use. The projected coordinate systems basically create a Cartesian plane on the surface of the globe, and the choice of origin, scale and other parameters are specific to each projection. Unfortunately, if you don't know what coordinate system your x and y points are in, it can become a frustrating game of trial and error. Names(box) <- NULL # removing non-complient labelsīox2 <- box + c(-buffer, -buffer, buffer, buffer) # bufferingīase_map <- get_map(location = box2, source = "osm") # getting base map Let's remove it so we can focus on the good points # let's exclude point 3 for nowīox <- st_bbox(my_latlon_df) # bounding box The no location information is going to cause problems, since it will plot at the origin of the state plane coordinate plane, which is down in Arkansas somewhere. We now have geographic coordinates with lat and long as columns of our data frame. # X1 CodedMonth Description geometry lat lon # proj4string: +proj=longlat +datum=WGS84 +no_defs # Simple feature collection with 6 features and 5 fields Mutate( lat= st_coordinates(my_latlon_df), Louis), My first guess was EPSG 26996 (NAD83 / Missouri East USFT), but that plotted in the middle of lake Huron, so I tried ESRI: 102696. In order to get this to work you need to know what coordinate system you are working with, and based on the description you provide (State Plane NAD83 and are near St. You can use the sf package to convert it to a simple features geography. ![]() |
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