I am working with a custom shape map in Power BI at the town level for the state of CT. Is it possible to get the town labels to display in each town without having to hover over each once individually?
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I have a problem related to detecting location of an entity on map. Say 6 devices read the location of the entity in the format of centre (x, y coronates) and radius. Just like in GPS triangulation we have to approximate the real location of the entity using this input data (x,y coronates) shown as the green pin. The issue is we have multiple/no points that 3 circles cross.
Just to formulate the problem, inputs are centres {(x1,y1)……, (x6,y6)}, corresponding radiuses {r1….. r6} and the output is {x0,y0}.
The question is can we solve this using (AI) or training a
I am working on my masters thesis trying to determine habitat prefrences for wild turkeys. I have polygon shapefiles which represent areas that turkeys used during different breeding periods. These polygons are all circular and vary from 300m to 1500m radius.
I have data to be extracted in the form of polygon shapefiles that I need to extract for each of the above mentioned areas. For example, one of my habitat data shapefiles maps out areas that were burned. This is a polygon shapefile with 100% coverage. The shapefile has an attribute Y_N_U where Y= yes, N=no and U=unknown. For each of my used circles I need to extract how much area was burned, not burned, and is unknown (can be in actual meters squared or % of the area .
Thanks for the help.
I would use union tool and union all the layers together.
Use select by attribute to and delete the polygons except for your target area (habitat polys).
Use dissolve tool on the above layer and run it with the "Y_N_U" attribute and the FID field of the habitat poly selected.
Then create a new field such as "Area_sqmeter". Run calculate geometry on that field - choose square meter for the unit.
Use the select by attribute tool under the selection button on top.
After this select the area you want. Right click on layer's name in the table of contents. Go down to the "data" tab and when it expands, click on "extract data". Be sure to choose to extract what is selected and extract it to a new file geo database.
Then you can edit it from there at your heart's desire while the original is still there.
In a dashboard that i'm creating i need to have a schematic anatomical image of the ear with different regions that change color based on the amount of patients with infections in that reason. Basically think of the choropleth of us states as shown here http://dc-js.github.io/dc.js/vc/ but instead of a map of the US it would be a schematic picture of the ear and instead of states it would be specific regions of the ear. How would i go about getting the image in a geojson format?
Other than drawing a polygon in Google Maps API, is there a way for me to get the "Northwest Washington DC" region on a Google map? When I search this area in Google maps itself, it has a nice highlighting effect which I like to replicate in my own website.
The issue with drawing the polygon is that I wouldn't really know how to get the correct LatLng coordinates for the polygon's path!
You can try using Google Geo Charts
A geochart is a map of a country, a continent, or a region with areas
identified in one of three ways:
The region mode colors whole regions, such as countries, provinces, or states.
The markers mode uses circles to designate regions that are scaled according to a value that you specify.
The text mode labels the regions with identifiers (e.g., "Russia" or "Asia").
In Google Maps Street View your cursor turns into a rectangular/oval shape as you mouse over different parts of the scene. For example:
http://maps.google.com/?q=loc:+Maryland+Ave+at+e.+26th+st+Baltimore+MD+US&ie=UTF8&z=16&iwloc=A&layer=c&cbll=39.319313,-76.618426&panoid=6W2XgkHoGuf6_SKv0LIL9Q&cbp=12,307.06,,0,3.16
As you move the cursor over the building it "hugs" the walls. It's not just as simple as following the intersection because if you continue on to the left you can see the angle change as it hits different faces of the buildings.
Do they do some sort of image analysis to identify faces of the buildings or do they, as they take the picture, do some sort of laser range finder and then later combine it with the picture?
They do use laser range scanners. And according to the Google Lat Long Blog:
We have been able to accomplish this
by making a compact representation of
the building facade and road geometry
for all the Street View panoramas
using laser point clouds and
differences between consecutive
pictures.