Tag: jobs

Mapping transit accessibility to jobs

Atlanta census blocks with number of jobs reachable within 30 minutes at least once

In previous posts, we’ve seen how to map the location and frequency of transit service in your city. However, frequent, nearby public transit service isn’t useful if that service doesn’t take you valuable destinations, like your job, your school, the grocery store, … Continue reading

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Leveraging Geoprocessing in ArcGIS Workflow Manager – Part 2

In part 1 of this blog series I wrote about interactive geoprocessing (GP) steps in ArcGIS Workflow Manager. Now, in part 2, we’ll move onto automated GP steps and wrap up the discussion from there.
At the end of part 1, you’ll recall we had pre-populated all of the required parameters for a GP tool.
And I was wondering why, with all of a tool’s arguments pre-populated, do we still need to show a dialog box to the user?
Right. And the answer is that we don’t. If all of the parameters have been correctly pre-populated, there are a number of alternate ways that you can run a GP step without prompting a user for anything. These include:

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What's inside the holes in my polygons? Part 2

In part 1 of this blog, I wrote about how you can use the ArcGIS Data Reviewer Invalid Hole Feature check in a spatial analysis.

The Invalid Hole Feature check uses an overlay to locate features within polygon holes. This type of overlay is deceptively tricky because a feature in a polygon hole is not inside or outside that polygon. Such a feature is located outside an interior ring of the polygon.

Part 1 of this blog demonstrated how you can use Data Reviewer to locate and display crime events within an unincorporated area of a city. However, the analysis is incomplete. After running the Invalid Hole Feature check as described in part 1, the Reviewer geometry returned are Reviewer point features. These features are multipart points (multiple geometries stored as a single feature with one set of attributes). While good for visualization, these features cannot be used as-is for analysis because they lack the crime information stored in the original data. You need to attach attributes to these features to understand what happened at each location. This will require splitting the multipart geometry into singlepart geometry.

 

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What’s new at Service Pack 1 for ArcGIS Data Reviewer 10

Last week we released Service Pack 1 for ArcGIS Data Reviewer 10, which can be downloaded here. Besides the usual bug fixes for this service pack, we also included some enhancements that were requested by you, the users. For this blog topic I’d like to highlight some of those enhancements.

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QA/QC for Water/Wastewater using Data Reviewer

For this blog topic, I wanted to talk about how ArcGIS Data Reviewer can be used within water and wastewater utilities to maintain high-quality GIS data that is spatially accurate, descriptive, and current. The increased use of GIS technology drives the need for water and wastewater utilities to ensure that their data is up-to-date and of sufficient quality while minimizing operating costs. For example, a quality related requirement found among many water and wastewater utilities is to maintain accurate and precise water and wastewater features to accomplish tasks such as:

  • Successfully execute construction and repair projects and perform spatial analysis such as using digital elevation models (DEM) to calculate and assign pressure values to pipes.
  • Support routing applications to efficiently route field crews to outage locations.
  • Assist pipeline markers during excavation projects.
  • Maintain accurate location and operable conditions of valves, hydrants, pumps, and other related features, to support critical modeling and analysis, such as emergency valve shutoff and valve isolation as well as access to fire hydrants during emergency incidents.

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Posted in Editing, Local Government, Water Utilities | Tagged , , , , , , , , , , | 2 Comments

Developing a Quality Assurance Plan

For our next blog topic, I’d like to discuss how a quality assurance (QA) plan can be used to ensure the production of quality GIS data. A QA plan is a document, usually created by a project manager, which identifies quality related objectives, standards and procedures for your dataset. These guidelines are used to maintain consistent quality control (QC) processes throughout the duration of a project and helps determine the success (or failure) of a project, and whether the deliverables meet customer expectations. In essence a QA plan is designed to ensure everyone involved in the project is on the same page about what quality means for your data and how you are going to measure and ensure compliance throughout the project life cycle.  

The establishment of a QA plan has many benefits including less data rework because quality requirements have been identified ahead of time and are being measured and monitored throughout the project. Additionally, project teams often experience greater productivity since a QA plan drives the examination of the production processes for efficiency and effectiveness. For project managers, the QA plan supports quality policy guidelines that your organization may have already established for your projects. For customers, satisfaction is increased because deliverables of the project will meet or exceed their expectations as a result of taking the time to measure and meet quality standards.

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