ポイントデータをシフト／オフセットする方法はありますか？

EllieHakari

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皆さん、こんにちは、<\/P>

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現在、私は何百万ものポイント（道路の温度と硬さを表示）を扱っています。私のオフィスでは、実際の道路からオフセットを与えて、すべてのデータを同時に見られるようにしたいと考えています。例：一つのデータセットは10フィートオフセット、次のセットは20フィートオフセット、などです。問題はこれがポイントデータであるため、どのようにオフセットすべきかの基準がないことです。私の同僚は現在、各データセット内の個々のシンボルをオフセットしています。これにより、データが次のように傾いてしまいます：<\/P>

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                                                              データ 3-------------------------------------------------------------<\/P>

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すべてのデータは「road」レイヤーに対して同じ場所から始まるべきです。これをどのように実現できますか？<\/P><\/BODY><\/HTML>

Anonymous User

Ellie,

One way to get the points offset the way you want is to turn the points into events. Events have a horizontal offset capability that would allow you to show the points as an offset from the road. The Locate Features on Route GeoProcessing tool can be used to convert features into events. The challenge you are going to run into is performance. Millions of points is difficult to display and events will even be slower. You could always export the events back to features for display. I think the horizontal offset will be preserved in the resulting feature. You might need to test that one. After that you might want to use something like map caching to make it easy for people to view the data.

Another thought I am having is that visualizing these millions of points isn't really the best way to work with this data. Even if you could visualize this much data quickly, it would be hard to get the information that you want out of the data. You likely want to be able to query the data for certain temperature and stiffens conditions and see the portions of the road highlighted where those conditions are met. One way to do this is to attach the data to segments of the roadway that can be queried. But with very large volumes of data, this can be difficult. You can also use big data tools to work with this data. I know Kentucky has done work like this. Right now the Esri big data tools are more for developers. At 10.5 those tools will be more accessible to everyone through GeoProcessing. If you like I'd be happy to talk with you sometime about the best approach for analyzing this data.