Introducing the SQUAD Tool: A tool for identifying anomalies in large spatial data sets

Join MEASURE Evaluation on May 31 at 9:30 a.m. EDT for a one-hour webinar introducing the Spatial Quality and Anomalies Diagnosis (SQUAD) Tool, now compatible with both ArcGIS and QGIS.

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Join MEASURE Evaluation on May 31 at 9:30 a.m. EDT for a one-hour webinar introducing the Spatial Quality and Anomalies Diagnosis (SQUAD) Tool, now compatible with both ArcGIS and QGIS. The webinar will be led by John Spencer, senior geographic information systems (GIS) technical specialist with MEASURE Evaluation; Becky Wilkes, GIS specialist with MEASURE Evaluation; and Veronica Escamilla, PhD, GIS research associate with MEASURE Evaluation.

The SQUAD Tool runs in ArcGIS or QGIS to assess potential anomalies in a large spatial data set. In this webinar, the tool’s creators will discuss the reasoning behind the tool, the process of creating it, and the types of data it can assess. Examples of data SQUAD can work with are master facility lists and geo-referenced survey data. The webinar will include a demonstration of the tool and discussion of the results.

Register to attend the webinar.

Speakers

John Spencer is senior GIS technical specialist at MEASURE Evaluation—a project funded by the United States Agency for International Development, based at the University of North Carolina at Chapel Hill (UNC). John has used geographic information systems extensively since 1995. He has been with the MEASURE Evaluation project since 1999.

Becky Wilkes is a GIS specialist and has been with MEASURE Evaluation since 2009. A cartographer and spatial analyst who uses both ArcGIS and QGIS regularly, she creates training materials and maps for the project.

Veronica Escamilla is a research associate at UNC and has recently joined the MEASURE Evaluation project. She has a PhD in geography, with a specialty in spatial epidemiology. She has worked as a geographer in global public health since 2006 and has done most of her overseas work in Malawi and Bangladesh.

When May 31, 2018
from 09:30 AM to 10:30 AM
Where Webinar
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