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Publication Assessing Spatial Data Quality Using Five Data Anomalies: Speeding the Process for Master Facility Lists and Other Large Data Sets
John Spencer, Becky Wilkes (2019)
Located in Resources / Publications
Data Science Programming Library
This page presents some examples of core R code for kriging and mapping that has been used by the project to support its work in geospatial analysis with big data for global health.
Located in Our Work / Data Science
Publication Using the Spatial Quality and Anomalies Diagnosis (SQUAD) Tool to Identify and Correct Data Anomalies in Master Facility Lists: Global Operational Guide
John Spencer and Becky Wilkes (2018)
Located in Resources / Publications
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.
Located in Resources / Events
Publication Octet Stream Geographic Information Systems (GIS) Tools Matrix
MEASURE Evaluation (2018)
Located in Resources / Publications
Publication SQUAD: A Tool for Spatial Quality and Anomalies Diagnosis – Documentation and Tutorial (QGIS version)
Spencer J, Wilkes B (2018)
Located in Resources / Publications
Publication Overview: Spatial Quality Anomalies Diagnosis (SQUAD) Tool for ArcGIS
MEASURE Evaluation (2018)
Located in Resources / Publications
Publication Overview: Spatial Quality Anomalies Diagnosis (SQUAD) Tool for QGIS
MEASURE Evaluation (2018)
Located in Resources / Publications
Publication Spatial Quality and Anomalies Diagnosis (SQUAD) Tool for QGIS Quick Start Guide
MEASURE Evaluation (2018)
Located in Resources / Publications
Where Can You Make the World a Better Place?
By John Spencer, MA. Google assembled people who use spatial tools to do good. MEASURE Evaluation produced this video to show how these tools can help improve health services.
Located in Resources / Newsroom: News, Blogs, Podcasts, Videos / Blogs