Lücken in Light Pole-Daten finden

Question

Ich versuche, ein Problem zu lösen, bei dem ich Lücken in unseren Straßenlaternen-Daten finden muss. Ich benötige Straßenlaternen an jedem zweiten Pfosten, an Straßenkreuzungen und an Sackgassen/Enden. Ich habe einen Datensatz aller Pfosten (mit und ohne Lichter), einen Datensatz der Pfosten mit Lichtern und einen Datensatz der Straßenmittelachsen und Kreuzungen. Mit dem Buffer-Tool konnte ich alle Kreuzungen finden, die keine Straßenlaternen innerhalb von 50 Fuß um sich herum haben. <\/P> Wie würde ich das Problem lösen, Straßenlaternen an jedem zweiten Pfosten zu haben? Dies schließt Situationen ein, in denen Pfosten/Straßenlaternen auf der gegenüberliegenden Straßenseite stehen. <\/P>

RobertKrisher · Answer

Switch the order of input/near parameters in your GP tool. You want the poles to each find their nearest road (then use the near_x and near_y), doing it the other way around means that each road will only find its nearest pole 🙂 Specifying a reasonable threshold is always a good idea.

One of the biggest limitations of this approach is going to be how streetlights are captured in intersections (which street do they get assigned to?), but this approach will work well for long running stretches of road.

BenWilkerson89 · Answer

Thank you Robert for the suggestion! I did as you suggested but it didn't generate a point on the centerline for every pole as I thought it would. It only generated them at random intervals. As I hope you can see from the attached images, there are more poles that adjacent to the centerlines but it's not grabbing those. Do I need to set a search radius?

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Brochure_Acueducto_Reduccion perdida agua_SPX_ESP.pdf

CNMOC Change Management Plan DRAFT.docx

NebraskaCounties-PopulationDensityAndTowns.pdf

RobertKrisher · Answer

You could use the generate near table tool to identify the street centerline closest to each pole, and by turning on the Location option it will include the location on the centerline. You can then create a point layer from the coordinates in your near table (remembering the ID of the line), and join in the information from your pole layer whether it has a streetlight or not. That should make it much easier to visually review the centerline data.