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Table 1 Pros and cons of sampling approaches and tools considered

From: Feasibility of satellite image and GIS sampling for population representative surveys: a case study from rural Guatemala

Approach Pros Cons
Multi-stage cluster sampling
Census frame with manual cluster selection Calculate weights and CIs
Low cost of 1st-stage cluster selection
Does not require skills beyond survey statistics
Outdated 1st-stage frame
High cost of 2nd-stage household enumeration
Gridded population frame with GridSample.org Calculate weights and CIs
Low cost of 1st-stage cluster selection
Requires few skills beyond survey statistics
Outdated 1st-stage frame
High cost of 2nd-stage household enumeration
Gridded population frame with RTI Geo-Sampling Calculate weights and CIs
Requires few skills beyond survey statistics
Outdated 1st-stage frame
High cost of 1st-stage cluster selection
High cost of 2nd-stage household enumeration
Census frame with EPI design Low cost of 1st-stage cluster selection
Low cost of 2nd-stage
Does not require skills beyond survey statistics
Outdated 1st-stage frame
Cannot calculate weights and CIs
Spatial sampling
No stratification   Sample not representative of the population
Requires GIS skills
Stratification on structure density Updated frame
Calculate weights and CIs
Requires GIS and other skills beyond survey statistics
High cost of structure enumeration (or similar count of buildings)
Simple random sample of structures
Enumerate all structures in OpenStreetMap, Google Earth, or GIS software Updated frame
Calculate weights and CIs
High cost of structure enumeration
Requires GIS skills
Epicentre Geo-Sampler Updated frame
Calculate weights and CIs
Low cost of structure selection (no enumeration)
Requires few skills beyond survey statistics
 
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