{"id":3237,"date":"2026-11-11T14:25:30","date_gmt":"2026-11-11T14:25:30","guid":{"rendered":"https:\/\/mapologie.com\/?page_id=3237"},"modified":"2026-11-11T14:47:32","modified_gmt":"2026-11-11T14:47:32","slug":"mapping-for-evaluation","status":"publish","type":"page","link":"https:\/\/mapologie.com\/index.php\/mapping-for-evaluation\/","title":{"rendered":"Mapping for evaluation"},"content":{"rendered":"\n<link rel=\"stylesheet\" href=\"https:\/\/fonts.googleapis.com\/css2?family=Montserrat:wght@600;700&#038;family=Source+Sans+3:wght@300;400;600;700;800&#038;display=swap\">\n<div class=\"mp mp-page\">\n<section class=\"mp-hero\">\n  <div class=\"mp-hero__main mp-grid\">\n    <span class=\"mp-kicker\">Mapping for evaluation<\/span>\n    <h1>The maps an evaluation can use, and what each one answers.<\/h1>\n    <p class=\"mp-lead\">Interviews and surveys tell you what changed. Maps and satellite images show where, for whom, and how much. Here are the main types I use, with the evaluation questions they help answer.<\/p>\n    <div class=\"mp-actions\"><a class=\"mp-btn mp-btn--orange\" href=\"#bangladesh\">See the Cox&#8217;s Bazar example<\/a><\/div>\n  <\/div>\n  <div class=\"mp-hero__side\">\n    <div class=\"mp-tile--green\"><span class=\"mp-coord\">Software<\/span><h3 style=\"color:var(--ink);margin:8px 0 0\">QGIS, free and open source<\/h3><\/div>\n    <div class=\"mp-tile--blue mp-cut-md\"><span class=\"mp-coord\">Data<\/span><h3 style=\"color:var(--ink);margin:8px 0 0\">Open satellite and humanitarian data<\/h3><\/div>\n  <\/div>\n<\/section>\n\n<section class=\"mp-section\" id=\"why-maps\">\n  <div class=\"mp-wrap mp-split mp-split--wide\">\n    <div>\n      <span class=\"mp-kicker\">Why maps<\/span>\n      <h2>Seeing what is happening where, and starting to understand why<\/h2>\n    <\/div>\n    <div>\n      <p class=\"mp-lead\">Using maps in evaluation goes beyond looking at an image. A map links what is happening to where it is happening, and often helps explain why.<\/p>\n      <p>A gap in coverage next to a damaged road, crop health falling in the villages furthest from water, results that differ from one district to the next: patterns like these are hard to spot in a table and obvious on a map. Maps are a strong alternative to tables and long text, showing geographic data in a way decision-makers can take in at a glance and discuss together.<\/p>\n      <ul class=\"mp-checks\">\n        <li><strong>Answer key evaluation questions<\/strong> across sectors: food security and livelihoods, water and sanitation, shelter, health, education, protection, disaster risk reduction and climate adaptation<\/li>\n        <li><strong>Account for nature as a stakeholder<\/strong> by tracking vegetation, water and land use, so environmental effects are part of the judgement, not an afterthought<\/li>\n        <li><strong>Bring context into the analysis:<\/strong> hazards, access, conflict and displacement all shape what a programme can achieve<\/li>\n        <li><strong>Check coverage and equity:<\/strong> who was reached, who was missed, and whether support matched need<\/li>\n        <li><strong>Fill gaps<\/strong> where insecurity, distance or budget limit field visits, and compare before and after when no baseline was collected<\/li>\n        <li><strong>Leave something behind:<\/strong> maps and data your team can update and reuse once the evaluation is over<\/li>\n      <\/ul>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section class=\"mp-section mp-section--cream\" id=\"analyses\">\n  <div class=\"mp-wrap\">\n    <span class=\"mp-kicker\">What QGIS can do<\/span>\n    <h2>Eight kinds of analysis for an evaluation<\/h2>\n    <p class=\"mp-lead\" style=\"max-width:760px\">All of these can be done with free, open-source QGIS and open data, and handed over to your team afterwards.<\/p>\n    <div class=\"mp-analyses\">\n      <article class=\"mp-an mp-an--navy\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><path d=\"M10 12h46v34H10z\" fill=\"#1C4670\"\/><path d=\"M58 12h44v22H58z\" fill=\"#449DD1\"\/><path d=\"M104 12h46v40h-46z\" fill=\"#E8AC44\"\/><path d=\"M10 48h30v40H10z\" fill=\"#449DD1\" opacity=\".55\"\/><path d=\"M42 48h40v40H42z\" fill=\"#1C4670\"\/><path d=\"M58 36h44v10H58z\" fill=\"#E8AC44\" opacity=\".6\"\/><path d=\"M84 48h20v40H84z\" fill=\"#E8AC44\"\/><path d=\"M104 54h46v34h-46z\" fill=\"#449DD1\"\/><path d=\"M10 12h140v76H10z\" fill=\"none\" stroke=\"#fff\" stroke-width=\"2\"\/><\/svg>\n        <h3>Results by area<\/h3>\n        <p>Shade districts or communes by an indicator to see where targets were met and where they fell short.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> Did results differ between regions?<\/p>\n      <\/article>\n      <article class=\"mp-an mp-an--blue\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><path d=\"M20 70 Q40 20 80 30 T140 25 L145 80 Q100 92 60 85 Z\" fill=\"#449DD1\" opacity=\".35\"\/><circle cx=\"50\" cy=\"55\" r=\"5\" fill=\"#1C4670\"\/><circle cx=\"68\" cy=\"45\" r=\"5\" fill=\"#1C4670\"\/><circle cx=\"62\" cy=\"68\" r=\"5\" fill=\"#1C4670\"\/><circle cx=\"84\" cy=\"58\" r=\"5\" fill=\"#1C4670\"\/><circle cx=\"120\" cy=\"50\" r=\"6\" fill=\"none\" stroke=\"#FF6B6B\" stroke-width=\"2.5\"\/><circle cx=\"130\" cy=\"68\" r=\"6\" fill=\"none\" stroke=\"#FF6B6B\" stroke-width=\"2.5\"\/><\/svg>\n        <h3>Coverage and gaps<\/h3>\n        <p>Plot activity sites against needs and population to show who was reached and who was missed.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> Did support go where it was needed most?<\/p>\n      <\/article>\n      <article class=\"mp-an mp-an--green\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><circle cx=\"60\" cy=\"52\" r=\"38\" fill=\"#335A1F\" opacity=\".18\"\/><circle cx=\"60\" cy=\"52\" r=\"24\" fill=\"#335A1F\" opacity=\".3\"\/><circle cx=\"60\" cy=\"52\" r=\"10\" fill=\"#335A1F\"\/><circle cx=\"118\" cy=\"40\" r=\"26\" fill=\"#E8AC44\" opacity=\".25\"\/><circle cx=\"118\" cy=\"40\" r=\"9\" fill=\"#E8AC44\"\/><path d=\"M60 52 L118 40\" stroke=\"#1C4670\" stroke-width=\"2\" stroke-dasharray=\"4 3\"\/><\/svg>\n        <h3>Distance and access<\/h3>\n        <p>Draw buffers or travel-time zones around schools, clinics or water points to measure how far people travel.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> How far do people walk to the nearest clinic?<\/p>\n      <\/article>\n      <article class=\"mp-an mp-an--pink\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><circle cx=\"55\" cy=\"50\" r=\"30\" fill=\"#FF6B6B\" opacity=\".18\"\/><circle cx=\"55\" cy=\"50\" r=\"18\" fill=\"#FF6B6B\" opacity=\".35\"\/><circle cx=\"55\" cy=\"50\" r=\"8\" fill=\"#FF6B6B\"\/><circle cx=\"118\" cy=\"62\" r=\"20\" fill=\"#E8AC44\" opacity=\".3\"\/><circle cx=\"118\" cy=\"62\" r=\"8\" fill=\"#E8AC44\"\/><g fill=\"#1C4670\"><circle cx=\"20\" cy=\"20\" r=\"2\"\/><circle cx=\"140\" cy=\"18\" r=\"2\"\/><circle cx=\"96\" cy=\"26\" r=\"2\"\/><circle cx=\"30\" cy=\"84\" r=\"2\"\/><circle cx=\"88\" cy=\"86\" r=\"2\"\/><circle cx=\"146\" cy=\"90\" r=\"2\"\/><\/g><\/svg>\n        <h3>Hotspots<\/h3>\n        <p>Turn hundreds of points, such as incidents, referrals or survey answers, into clusters that show where issues concentrate.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> Where are protection incidents clustered?<\/p>\n      <\/article>\n      <article class=\"mp-an mp-an--green\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><path d=\"M10 14h66v72H10z\" fill=\"#C9A86A\"\/><path d=\"M18 22h24v20H18zM46 50h22v28H46z\" fill=\"#335A1F\" opacity=\".7\"\/><path d=\"M84 14h66v72H84z\" fill=\"#335A1F\"\/><path d=\"M92 54h20v24H92z\" fill=\"#C9A86A\"\/><path d=\"M78 50 l6 -5 v10 z\" fill=\"#1C4670\"\/><text x=\"43\" y=\"96\" font-size=\"8\" font-family=\"Montserrat,sans-serif\" fill=\"#1C4670\" text-anchor=\"middle\">BEFORE<\/text><text x=\"117\" y=\"96\" font-size=\"8\" font-family=\"Montserrat,sans-serif\" fill=\"#1C4670\" text-anchor=\"middle\">AFTER<\/text><\/svg>\n        <h3>Change over time<\/h3>\n        <p>Compare satellite images from different years (for example vegetation, water or built-up areas) to see what changed on the ground.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> Did tree cover recover after the programme?<\/p>\n      <\/article>\n      <article class=\"mp-an mp-an--blue\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><path d=\"M0 58 Q40 40 80 56 T160 52 V100 H0 Z\" fill=\"#449DD1\" opacity=\".55\"\/><path d=\"M0 70 Q40 54 80 70 T160 66 V100 H0 Z\" fill=\"#449DD1\"\/><g fill=\"#1C4670\"><path d=\"M24 30h12v12H24z\"\/><path d=\"M58 22h12v12H58z\"\/><path d=\"M104 28h12v12h-12z\"\/><\/g><g fill=\"#FF6B6B\"><path d=\"M40 58h12v12H40z\"\/><path d=\"M120 54h12v12h-12z\"\/><\/g><\/svg>\n        <h3>Hazard exposure<\/h3>\n        <p>Overlay flood, drought or cyclone layers on settlements and infrastructure to show who is most at risk.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> Were the most exposed villages prioritised?<\/p>\n      <\/article>\n      <article class=\"mp-an mp-an--orange\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><rect x=\"12\" y=\"10\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"36\" y=\"10\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"60\" y=\"10\" width=\"18\" height=\"16\" fill=\"#E8AC44\"\/><rect x=\"84\" y=\"10\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"108\" y=\"10\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"132\" y=\"10\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"12\" y=\"32\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"36\" y=\"32\" width=\"18\" height=\"16\" fill=\"#E8AC44\"\/><rect x=\"60\" y=\"32\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"84\" y=\"32\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"108\" y=\"32\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"132\" y=\"32\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"12\" y=\"54\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"36\" y=\"54\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"60\" y=\"54\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"84\" y=\"54\" width=\"18\" height=\"16\" fill=\"#E8AC44\"\/><rect x=\"108\" y=\"54\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"132\" y=\"54\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"12\" y=\"76\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"36\" y=\"76\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"60\" y=\"76\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"84\" y=\"76\" width=\"18\" height=\"16\" fill=\"#E8AC44\"\/><rect x=\"108\" y=\"76\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><rect x=\"132\" y=\"76\" width=\"18\" height=\"16\" fill=\"#D5DCE3\"\/><\/svg>\n        <h3>Fair sampling<\/h3>\n        <p>Select survey and field-visit sites at random or by group, so the evaluation covers the whole programme, not only the easiest places to reach.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> Which sites should we visit?<\/p>\n      <\/article>\n      <article class=\"mp-an mp-an--navy\">\n        <svg class=\"mp-an-svg\" viewBox=\"0 0 160 100\" role=\"img\" aria-hidden=\"true\"><rect width=\"160\" height=\"100\" fill=\"#F8F8EE\"\/><path d=\"M14 18 L90 12 L96 64 L20 74 Z\" fill=\"#335A1F\" opacity=\".45\"\/><path d=\"M64 34 L146 26 L150 84 L70 90 Z\" fill=\"#449DD1\" opacity=\".45\"\/><path d=\"M64 34 L94 32 L96 64 L68 68 Z\" fill=\"#1C4670\" opacity=\".7\"\/><circle cx=\"40\" cy=\"44\" r=\"4\" fill=\"#E8AC44\"\/><circle cx=\"118\" cy=\"58\" r=\"4\" fill=\"#E8AC44\"\/><\/svg>\n        <h3>Combining layers<\/h3>\n        <p>Bring several datasets together (livelihood zones, displacement, markets, partners) to see how context shapes results.<\/p>\n        <p class=\"mp-an-q\"><span class=\"mp-coord\">Example question<\/span> Does the programme match how people make a living?<\/p>\n      <\/article>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section class=\"mp-section\" id=\"bangladesh\">\n  <div class=\"mp-wrap\">\n    <div class=\"mp-split mp-split--wide\">\n      <div>\n        <span class=\"mp-kicker\">Featured \u00b7 Cox&#8217;s Bazar, Bangladesh<\/span>\n        <h2>Tracking vegetation in and around refugee camps (NDVI)<\/h2>\n      <\/div>\n      <div>\n        <p class=\"mp-lead\">NDVI (Normalised Difference Vegetation Index) uses satellite images to measure how green and dense vegetation is, from about 0 for bare soil or buildings to 0.9 for dense forest.<\/p>\n        <p>For the refugee camps of Cox&#8217;s Bazar Area 1, I compared four moments: before the 2017 influx (December 2016), after it (December 2018), and the start and end of a programme (December 2020 and December 2025). The maps show how much tree and plant cover was lost as the camps were built, and where it has started to come back.<\/p>\n      <\/div>\n    <\/div>\n    <figure class=\"mp-figure-wide\">\n      <a href=\"https:\/\/mapologie.com\/wp-content\/uploads\/2026\/11\/map_series_ndvi_1-scaled.png\"><img decoding=\"async\" src=\"https:\/\/mapologie.com\/wp-content\/uploads\/2026\/11\/map_series_ndvi_1-scaled.png\" alt=\"Four NDVI maps of Cox's Bazar Area 1 refugee camps for December 2016, 2018, 2020 and 2025, showing dense vegetation in 2016, widespread loss by 2018 and partial recovery by 2025.\" loading=\"lazy\"><\/a>\n      <figcaption>Vegetation (NDVI), Cox&#8217;s Bazar Area 1: December 2016, 2018, 2020 and 2025. Contains modified Copernicus Sentinel data and USGS Landsat Collection 2 data. Click to enlarge.<\/figcaption>\n    <\/figure>\n    <div class=\"mp-split mp-split--wide\" style=\"margin-top:48px\">\n      <div>\n        <span class=\"mp-kicker\">What the analysis shows<\/span>\n        <h3>A camp-by-camp picture of change<\/h3>\n      <\/div>\n      <div>\n        <ul class=\"mp-checks\">\n          <li>Across the whole area, vegetation rose slightly over the programme period (average NDVI +0.02)<\/li>\n          <li>The strongest greening was in Camps 4, 4 Extension, 20 and 20 Extension (+0.12 to +0.13)<\/li>\n          <li>Camps 1E, 1W and 9 lost vegetation, so they are the places to look at more closely<\/li>\n          <li>Most other camps stayed about the same<\/li>\n        <\/ul>\n        <p>Results like these give an evaluation a way to check environmental outcomes camp by camp, and to choose where field visits and interviews should focus.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section class=\"mp-section mp-section--cream\">\n  <div class=\"mp-wrap mp-split\">\n    <div>\n      <span class=\"mp-kicker\">Used carefully<\/span>\n      <h2>Images from above need checking on the ground.<\/h2>\n    <\/div>\n    <ul class=\"mp-checks\">\n      <li>Satellite findings are always cross-checked with interviews, field visits and programme data<\/li>\n      <li>Maps never show individual households or anything that could put people at risk<\/li>\n      <li>Location data is anonymised and shared only as agreed with you<\/li>\n      <li>I&#8217;m clear about what the imagery can and cannot tell you, such as cloud cover or image resolution<\/li>\n    <\/ul>\n  <\/div>\n<\/section>\n\n\n<section class=\"mp-cta\">\n  <div class=\"mp-cta__main mp-cut-lg\">\n    <span class=\"mp-kicker\" style=\"color:#fff\">Let&#8217;s talk<\/span>\n    <h2>Planning an evaluation, a MEL system or a QGIS course?<\/h2>\n    <p class=\"mp-lead\" style=\"margin:0\">Tell me what you&#8217;re working on and when you need it. I&#8217;ll reply with how I could help.<\/p>\n  <\/div>\n  <div class=\"mp-cta__side\">\n    <span class=\"mp-coord\" style=\"margin-bottom:12px\">Get in touch<\/span>\n    <a href=\"\/index.php\/about-us\/#contact\">Send me a message \u2192<\/a>\n  <\/div>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Mapping for evaluation The maps an evaluation can use, and what each one answers. Interviews and surveys tell you what changed. Maps and satellite images show where, for whom, and how much. Here are the main types I use, with the evaluation questions they help answer. See the Cox&#8217;s Bazar example Software QGIS, free and [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"mapologie-page","meta":{"footnotes":""},"class_list":["post-3237","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/pages\/3237","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/comments?post=3237"}],"version-history":[{"count":6,"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/pages\/3237\/revisions"}],"predecessor-version":[{"id":3323,"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/pages\/3237\/revisions\/3323"}],"wp:attachment":[{"href":"https:\/\/mapologie.com\/index.php\/wp-json\/wp\/v2\/media?parent=3237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}