Geospatial analysis and GIS mapping plan
Before mapping, define the decisions the map should inform. Always check disclosure protection and publication scope when handling personal addresses or small-area data.
Geospatial analysis and GIS mapping plan
Basic information
Record the analytical purpose and target area.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- Program name
- Community consultation (fictional)
- Target area
- Districts A and B
- Question for the map
- Which district has lower reach per eligible person?
- Analyst
- Analyst A
- Data management lead
- Data manager B
Reason for this entry: Distinguish uses of counts and rates.
Writing tips and explanation for this section
About this section
Record the analytical purpose and target area.
Distinguish uses of counts and rates.
View the method explanationWriting tips
Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.
Read the full fictional exampleData used
Organize location data and contextual characteristics.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Dataset | Location data type | Aggregation unit | Characteristics | Personal information risks |
|---|---|---|---|---|
| Use totals by district | District code | District | User count and period | Inference from small cells |
| Eligible population totals | District code | Same district boundaries | Eligible count and reference date | Take care when combining with use data. |
Reason for this entry: The design does not map personal addresses.
Scroll horizontally to view the table
| Dataset | Location data type | Aggregation unit | Characteristics | Personal information risks |
|---|---|---|---|---|
Writing tips and explanation for this section
About this section
Organize location data and contextual characteristics.
The design does not map personal addresses.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleAnalysis plan
Record maps and indicators to produce.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Analysis or map | Purpose | Required data | Normalization and aggregation | Output format |
|---|---|---|---|---|
| Choropleth map of use rates | Compare reach across areas. | User and eligible counts | Users / eligible population × 100. Check the denominator's reference date. | Aggregated map and source table |
| Proportional symbols for user counts | Understand consultation volume. | User count | Remove duplicate individuals. | Separate map |
Reason for this entry: Choose displays according to the quantity to show.
Scroll horizontally to view the table
| Analysis or map | Purpose | Required data | Normalization and aggregation | Output format |
|---|---|---|---|---|
Writing tips and explanation for this section
About this section
Record maps and indicators to produce.
Choose displays according to the quantity to show.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional examplePublication and disclosure protection policy
Describe how much of the map can be published.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Reason for this entry: Consider the publication context as well as fixed counts when deciding on disclosure protection.
Writing tips and explanation for this section
About this section
Describe how much of the map can be published.
Consider the publication context as well as fixed counts when deciding on disclosure protection.
View the method explanationWriting tips
Use the example as a reference and record what you have established about your own program. Distinguish assumptions and unchecked matters from confirmed facts.
Read the full fictional exampleCompletion check
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- ☑ Checked: Considered indicators normalized by population or eligible counts
- ☐ Not checked: Checked location accuracy and missingness
- ☐ Not checked: Checked personal information and re-identification risks
- ☑ Checked: A policy ensures map limitations and interpretation are explained
Reason for this entry: Location missingness and re-identification checks follow receipt of actual data.
Writing tips and explanation for this section
About this section
Location missingness and re-identification checks follow receipt of actual data.
View the method explanationWriting tips
Read each item and check those you have confirmed. Do not use the fictional example’s checkbox states as findings about your own program.
Read the full fictional exampleBefore writing, check when to use the worksheet and what completion involves
Geospatial analysis and GIS mapping plan is a worksheet for applying Geospatial Analysis and GIS Mapping in meetings or individual work. For the overall duration of the method, use “Planning example, not a universal standard duration: a few days–3 weeks, including data preparation, geocoding and visualization” as a reference, adjusting for scale and resources. Fill in what you know provisionally and leave unresolved matters as questions to check next.
When this worksheet is useful
- When examining the distribution of service users, facilities, support centers or community resources
- When evaluating area differences or places not reached
- When examining spatial bias in local government, health, education, disaster prevention or community welfare programs
Participants and preparation
Evaluators, GIS or data staff, field managers and personal information managers. Basic QGIS or similar skills are useful.
Bring the materials used for decisions, existing data, and differing stakeholder views to help complete the worksheet.
Suggested order
- 1. Basic informationRecord the analytical purpose and target area.
- 2. Data usedOrganize location data and contextual characteristics.
- 3. Analysis planRecord maps and indicators to produce.
- 4. Publication and disclosure protection policyDescribe how much of the map can be published.
- 5. Completion check
Signs the worksheet is ready for review
- Service reach map
- Area use rate and resource allocation analysis
- Unreached areas and possible improvements
Cautions for review
- Producing an attractive map without answering evaluation questions
- Do not confuse counts with population-based reach rates. Choose counts, rates or density according to the purpose, and specify denominators and coverage.
- Creating re-identification risks by displaying detailed personal addresses
Read a completed fictional example (your entries will not change)
A fictional illustrative example with invented eligible and user populations for 2 districts.
Basic information
- Program name
- Community consultation (fictional)
- Target area
- Districts A and B
- Question for the map
- Which district has lower reach per eligible person?
- Analyst
- Analyst A
- Data management lead
- Data manager B
Reason for this entry: Distinguish uses of counts and rates.
Data used
Scroll horizontally to view the table
| Dataset | Location data type | Aggregation unit | Characteristics | Personal information risks |
|---|---|---|---|---|
| Use totals by district | District code | District | User count and period | Inference from small cells |
| Eligible population totals | District code | Same district boundaries | Eligible count and reference date | Take care when combining with use data. |
Reason for this entry: The design does not map personal addresses.
Analysis plan
Scroll horizontally to view the table
| Analysis or map | Purpose | Required data | Normalization and aggregation | Output format |
|---|---|---|---|---|
| Choropleth map of use rates | Compare reach across areas. | User and eligible counts | Users / eligible population × 100. Check the denominator's reference date. | Aggregated map and source table |
| Proportional symbols for user counts | Understand consultation volume. | User count | Remove duplicate individuals. | Separate map |
Reason for this entry: Choose displays according to the quantity to show.
Publication and disclosure protection policy
Reason for this entry: Consider the publication context as well as fixed counts when deciding on disclosure protection.
Completion check
- ☑ Checked: Considered indicators normalized by population or eligible counts
- ☐ Not checked: Checked location accuracy and missingness
- ☐ Not checked: Checked personal information and re-identification risks
- ☑ Checked: A policy ensures map limitations and interpretation are explained
Reason for this entry: Location missingness and re-identification checks follow receipt of actual data.
Common errors in judgment
Assuming areas with more cases have better access
How to revise: Also check eligible populations, needs and transport conditions.
Reason: A larger population alone can increase counts.
Publishing address points directly
How to revise: Define aggregation and disclosure protection units first.
Reason: Support use and characteristics may become linked to individuals.
References and checked sections
- Normalization for choropleth mapsHeather Smith/Esri · 2025
- Section consulted
- Video #1: Choropleth maps versus graduated symbols; Video #2; Video #3
- How it relates to the text
- Distinguish map counts from rates and consider identification risks from publishing location data.
- Technical Note on the inclusion of hard-to-reach populations and children in evaluationsSofiya Yuvshanova/UNICEF ECARO · 2025
- Section consulted
- Executive summary; Table 2: Dimensions of equity-focused evaluations
- How it relates to the text
- Distinguish map counts from rates and consider identification risks from publishing location data.
How to cite this page
Change history
- — Checked sources for definitions and applicability conditions, and added fictional examples, reasons for judgments and examples for every worksheet field. Revised unverified claims about history and adoption. Also reviewed existing procedures and cautions, and adjusted fixed participant counts and thresholds and generalizations about institutions.


