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CSTE Spatial Analysis Workgroup

Maria Patselikos, Evaluation Analyst at CSTESarah New, EpidemiologistMegan Toe, CSTEChelsea Foo, LA CoValerie Haley, NYScott Troppy, Surveillance Epidemiologist at MA DPHElyse Bevers, WASvetlana, Disaster EpidemiologistCarrie Klumb, Senior Epidemiologist, Zoonotic Diseases Unit at Minnesota Department of HealthRacheal Odom, Zoonotic Disease Epidemiologist at Arkansas Department of HealthJessi Joiner, Geospatial Health Data AnalystFatema Mamou, Regional EpidemiologistRany OctariaMeagan Burns, Surveillance Epidemiologist at MA DPHAdam Readhead +236 others
Posted by Scott Troppy ·

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

 


  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.  

MEASURE Evaluation is funded by the U.S. Agency for International Development (USAID) under terms of Cooperative Agreement AID-OAA-L-14-00004 and implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International, John Snow, Inc., Management Sciences for Health, Palladium, and Tulane University. The views expressed in this e-mail do not necessarily reflect the views of USAID or the United States government.