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Not directly, it will select the points that are within county A, what you can do is select by location those that are identified as being in count A then do a select by attributes, but don't clear the selection Select features using attributes—ArcGIS Pro | Documentation then do the select by attributes those that are NOT in couty A. (presume you have a column that does that) You now have the errors
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05-27-2020
11:15 AM
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Select features by location—ArcGIS Pro | Documentation your points in your county... or they aren't
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05-27-2020
08:20 AM
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Have you seen the existing documentation within the Metadata link? View and edit metadata—ArcGIS Pro | Documentation
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05-27-2020
07:46 AM
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On a quick note... you might want to remove the mako shark sightings in the pacific ocean and particularly those on land! These are going to have a big impact on the results you have obtained. You will need to eliminate the landmass completely with nodata values. These are skewing your results
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05-27-2020
07:29 AM
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a = [1, 11, 111, 1111]
s = "E000186"
e = 0
["{}{:>04}{}".format(s, i, e) for i in a]
Out[14]: ['E00018600010', 'E00018600110', 'E00018601110', 'E00018611110'] The key is the '0' padding in the middle variable, represented by 'a' above. s is the start, e is the end values
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05-27-2020
07:18 AM
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I have no more ideas, except to revisit the georeferencing. Sorry, the differences are too big to be something simple
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05-27-2020
06:30 AM
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What are the actual values of a location and for what location? 2 km is a big difference. 200m would suggest a datum difference, What other coordinate systems are used in your area? I have run out of ideas... what does your associate say?
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05-27-2020
01:23 AM
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Near will give you the distance from the line. Unless you replicated all the street nuances (aka curves) and intersections, your streets generated from your observations may or may not be a good representation of existing conditions. Perhaps you can share a typical sample of the existing network and your point locations before you spend a lot of time generating output.
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05-26-2020
08:21 PM
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You might want to look at these as well... it will save you connecting the points if you are only interested in "how close" the data are representing the actual locations. Generate Near Table—Help | Documentation Near—Help | Documentation Spatial Join—Help | Documentation
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05-26-2020
07:59 PM
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Points To Line—Data Management toolbox | Documentation But I suspect if you are looking at comparisons, then you may want to compare offsets of the observations versus the existing? Clarification might help.
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05-26-2020
05:12 PM
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Maria Manz Use None if no item or special value will be used and each feature will be counted once. cell size .... 0.1688... method ... planar I think that your coordinates are in decimal degrees? Right? if so is your study area huge? like 42 degrees high and/or wide? (1/250 of the width or height is the default cell size in the units of the data) Why don't you want to specify a search radius? was this agreed upon? or is this an R default that you are emulating? Think about this. Do you see clusters in the points? In what sort of radius are the clusters? method... use geodesic and revisit your cell size choice, especially if your points are clustered into groupings smaller than your cell size It is hard to make any other recommendations without the "end goal" being known, especially if this goes beyond a pretty map and you need to make inferences about the population patterns. So, you can get a map, it will represent 'density per unit area' but the details still depend on the choices made. If you have a license for An overview of the Spatial Statistics toolbox—ArcGIS Pro | Documentation there are other tools there for mapping and examining patterns (ellipse pattern) and clusters or An overview of the Geostatistical Analyst toolbox—Help | Documentation if you are looking at a predictive surface. So many decisions eh ?
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05-26-2020
05:01 PM
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hmmmm I would have to throw in a select by attribute into the mix then to query by the primary column, then aggregate the results later. I won't get to that for a while, but if you had only a few cases of the parcel column, that would be the procedure...get the individual ranked listings, then merge them together.
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05-26-2020
12:52 PM
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it might help if you had an image of your input points and the options that you specified in the KD tool. In short, you have observations of something in space... a sample effectively. What you are trying to do is represent the "density" of those points with respect to the other points and a distance for each cell. Each cell in the resultant raster is needs a value which is calculated as follows: Kernel density spreads the known quantity of the population for each point out from the point location. The resulting surfaces surrounding each point in kernel density are based on a quadratic formula with the highest value at the center of the surface (the point location) and tapering to zero at the search radius distance. For each output cell, the total number of the accumulated intersections of the individual spread surfaces is calculated. From Differences between point, line, and kernel density—Help | Documentation So it important to know the cell size and many other parameters that are specified in the tool Kernel Density—Help | Documentation In the end the result is a measure of the number of occurrences of something per unit area. If you change the parameters, keeping the data set the same, you will conceivably get a different result
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05-26-2020
12:49 PM
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You ruled out the help topic descriptions? For example... How Kernel Density works—Help | Documentation
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05-26-2020
10:05 AM
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https://community.esri.com/docs/DOC-14928-free-tools-for-arcgis-pro-table-tools Rank by field(s) might work, if not, let me know and I will see if it can be tweaked
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05-26-2020
09:52 AM
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