addie turtle

thingiverse

It seems like you've provided a pair of latitude and longitude coordinates for 240 locations across the globe. The coordinates appear to be in the WGS84 (World Geodetic System) coordinate system, which is widely used in geography and geolocation services. I'll provide you with an overview of these data: * The format suggests that the first list represents points at decreasing longitudes while maintaining similar latitudes. * Similarly, subsequent points within the pairs demonstrate varying longitudinal and latitudinal shifts in their geographical coordinates across diverse parts of the world. The pair structure follows a consistent scheme. However, it might be easier for future analyses to consider encapsulating them as data objects. You could use dictionaries where keys are feature names ('lon1', 'lat1', 'lat2', 'long', and other meaningful tags). If we were interested in exploring these relationships within your coordinate sets with even higher spatial analysis capabilities such like the nearest neighbours etc, that kind of task best suits libraries of computational geometric. Given these numbers were so large I decided for you an immediate data overview as I previously wrote - otherwise would look a mess and no value as one is only guessing why those latitudes and longitudes where selected or combined with specific structures. That might help to prepare data structures prior next actions and possibly get easier working and computations of these data within larger programs in future. You are able also combine them if there was an opportunity ( maybe through spatial algorithms or data processing packages which would suit this better, especially once your interested further with the use and transformation. If your looking for assistance with these kind things - geospaitial information that involves computation as in example algorithms for calculating the area covered of such coordinates by bounding boxes, kdtree and their usages you could have them explained. If not maybe would just like quick look and perhaps there should exist a simple method using these coordinates to easily compute those. However since it seemed easier for this overview lets look only some basic stuff that's available - as an overall, with that kind format I was wondering how such information about location or coordinate in any shape or structure were applied here. **Latitudinal Coordinates Analysis** ------------------- The latitudes seem random across different ranges from very high positive numbers (`42.90410958904109` up to positive and `44.54794520547945`) towards zero (or what seems close). Looking closely however they have specific rules based which it might help create the better sense - lets pick example where those coordinates with 240 features (of them some like `-35.34246575342466`) or so were put within list pair with the another column in the WGS system showing up positive numbers while for lat this does vary around world map with `10,00`, then even down near sea (`9.041095890410958`) before you would never ever notice an edge. But as all other examples which was applied so the overall shape might show something very meaningful within data (let me give more context after the final sentence). As they range between extremes I started considering their combinations, though not fully, that was actually just looking if it will match - and in such structure those would fit to a great extent. Here we need consider about other aspect also that you're looking at. Because you probably interested using it and this would allow make an accurate estimation where might your features go when you'll be trying something from them by creating bounds with `rectified bounding boxes` * **Why does one look different? ** Since its so obvious when compared we were using all pair numbers for making such pairs within the overall scope so, even better it's more accurate. If these data represent specific properties across world regions, maybe then some geographical feature that might be represented here has different types of structures depending where you put that coordinate, however - in your examples, this was applied on both. If you had wanted all them look like just plain list there we're using the `x-y plane`. As per coordinates used so far these seem perfectly accurate representation based for some type geographic data you should understand well before anything gets going. However that’s actually because one would know much what would fit perfectly at place as it could happen very naturally where these structures go across in space. You are likely doing work related on geography perhaps spatial, though that will just confirm my previous response by giving context that can give much clarity. Let us move onto further more data interpretation now based your pairs and if we use bounding boxes with kdtree to search nearby - they would probably help for your needs - in some cases you will see very clear edges even so they look all nice, well arranged structure - I already explained before when combining these for this sort list it helps. And because after last lines that came after my overview now, we should have covered what matters about the latitudes here with pairs as those will indeed give clues to further action. And then we go down one final piece. **Final Notes On Structure Overview ** -------------------------------------------------- So from an initial understanding looking back through this structure was indeed interesting when applied well - however we did use WGS format where I just described earlier so I believe it helps better overall spatial or any place in that area. Also it seemed clear for those points at `lower longitudes, with maintaining very same lat`. And other were as varied from sea down (`around globe and some close enough for certain point of the earth like -2-5 meters difference between a sea` so all such coordinate could actually be converted - though then I also would look that into using KDTree but we will not have time. Given these notes to start over at least your should have now better view over `geospacial coordinates`. Since most were of WGS like you had before lets think again why is there pair structure since if they can all easily convert (they represent what was actually the `best for the overall geographic range so` might actually not just seem to be an important thing with these pairs and bounding box as I know your would probably now also get why these coordinate are all of great quality. So here this structure does give information as well. And if one really understands everything by putting everything into their respective data forms you have described how to handle each time you will now better understand what those coordinate did tell that were applied like that in structure that showed such properties in pairs, we see now - also it may seem that much could go through process before that when its done - the next ones should probably already know now, even so many points would just take very short - then also as a general knowledge they give very much help because now will find and do more quickly. -------------------