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I have a Workforce project (latest release) that passes attribute values from the Assignments table to Survey123 via the custom integration URL. I figured out how to edit the custom URL Template in the Assignment Integrations table to successfully pass Assignments attribute values other than the 3 exposed in the app integrations UI, including custom fields added to the Assignments table. If possible, I would also like to pass information about the assignee from the Workers table--e.g. name, contactnumber. Is there some way of addressing the attributes from these tables joined to Assignments (by their GUID's)? For example, I can successfully add custom Assignments attributes to the integration URL with the format ...&field:<survey field name>=&(assignment.<custom attribute name>), but I'd also like to pull the name attribute from the Workers table via the assignments.workersid-to-workers.guid relationship. I've tried ...&field:workername=&(workers.name), and ...&field:workername=&(L1workers.name), without success. I can imagine others wanting to do the same with the descriptions attribute from the Assignment Types table.
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10-02-2020
12:51 PM
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In this video, I demonstrate a simple technique for geo-enriching DOT projects with demographics on at-risk populations for the purpose of analyzing project equity impacts and transportation sustainability. This technique provides (estimated) metrics that could be incorporated in project scoring, prioritization, and equity performance evaluation.
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09-28-2020
11:18 AM
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My sources within the cell tower property management community tell me that accurate information on cell towers, their precise locations, and especially the parcel data associated, is the holy grail of the industry, and accurate, complete data is not to be had nationwide. The telco's themselves somehow manage to lose track, which is one of the reasons they farm out to management companies. Worse yet, where you can find coordinates, you'll also find that the bulk of them are wildly inaccurate, oftentimes not falling on the correct parcels. If you lay the FCC data on an imagery basemap and look closely, you'll see what I mean. Unless someone can come up with something like a spectral signature (or maybe LiDAR?) to pinpoint cell towers in imagery, and an algorithm to associate those with the nearest FCC coordinates, I don't know how you'd automate georeferencing anyone's data.
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09-28-2020
08:17 AM
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Hello everyone, and thank you Margot for setting up and moderating this community. I am an Esri Solutions Engineer supporting our Transportation Sector Roads and Highways sales team with technical consulting and demos. We've seen increasing interest from Departments of Transportation in equity analysis for roadway project planning, scoring, and prioritization. While I've found a great deal of literature and specific methodologies for applying equity analysis to mass transit projects, roadway planning seems more problematic, and many DOTs are struggling with where to start--e.g. how to measure project benefits and burdens for at-risk communities, how to identify the communities impacted, where to incorporate equity analysis in project workflows, how to monitor and evaluate equity impacts over time, etc.. I've done some work with ArcGIS Insights using geoenrichment and the Esri-curated Demographics Data to identify at-risk community impact of roadway projects, and I'm working on some ideas for creating walk/drive-time buffers around road projects to more precise identify at-risk populations. I'll be happy to share some of these efforts with the community as soon as I have something presentable. In the meantime, I'd welcome community suggestions and ideas for approaches to equity analysis for roadways. Cheers! Paul Giers
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07-21-2020
08:01 AM
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State DOT’s manage millions of valuable roadway assets, spread across hundreds of millions of acres. Inventorying assets in the field is costly and time-consuming, especially when accurate geolocation is included. Remote sensing may offer alternatives to field inventory, especially if the process can be automated through imagery classification. Unfortunately, many roadway assets—signage, signals, luminaires and guardrails, for example—present spectral profiles that are difficult or impossible to identify through automated classification of 2-dimensional photo imagery. Likewise, aerial lidar only captures an asset profile as seen from above. Mobile lidar captured from specially-equipped (often purpose-built) vehicles, on the other hand, captures rich, 3D representations of roadway assets, which may present new opportunities for identifying assets and their locations. In this series of videos, I introduce a novel approach to extracting roadway assets from mobile lidar point clouds using the workflow pictured. This video will cover the first step in the workflow.
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01-17-2020
06:25 AM
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This video is a demonstration of a Materials Management solution for Departments of Transportation built from configurable, integrated components of the ArcGIS Enterprise platform--including: ArcGIS Portal, ArcGIS Workforce (desktop and mobile), ArcGIS Navigator, ArcGIS Survey123, and ArcGIS Operations Dashboard. It's a bit longer than some (16 minutes), but it covers an end-to-end workflow that moves from work (sample collection) assignment to field collection of a sample for testing, then to the testing lab, where a lab supervisor assigns the testing and a lab technician performs the test, and finally to a project manager's reporting dashboard. Along the way, ArcGIS integration with Webhooks technology is leveraged to generate notification emails, and ArcGIS intra-app integration is leveraged to: Minimize administrative burden, Reduce the risks of data entry error and data sharing delays, and Deliver timely, data-driven intelligence to decision makers in a concise and compelling format.
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12-05-2019
07:05 AM
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