MapBees logoMapBees

Blog

Location intelligence, explained simply

Short, friendly reads that turn map data into something anyone can act on - starting with what the score actually means and how you control it.

Plain languageNo jargonFor everyone

Latest guides

We write for real decisions, not data scientists. Each guide breaks a MapBees concept down into plain language, with the same live animations you see on the homepage. New here? The Guides group them by what they explain, starting with the four to read first.

Category

Use cases

Step-by-step pages for six customer jobs, from opening a café to finding underserved neighborhoods.

Browse use cases
Category

Alternatives

See where MapBees fits beside GIS and location-analytics tools, and when another tool is the better choice.

Browse alternatives
October 27, 202610 min read

Pedestrian potential: where the streets, timetable and places invite walking

Where are people likely to walk past? MapBees counts no one, but it can show how much a hex's timetable, streets and everyday places invite walking. Pedestrian potential puts the three on one 0–100 scale. Here it is on Houston, inside the city limits: how to read it, how to use it to choose a street, the math behind it, and - honestly - what it can't tell you.

Read the guide
October 25, 20269 min read

Closest: give every hex to its nearest store by drive time

Pick your stores, depots or clinics on the map and Closest colors every hex of the city by the one you can drive to soonest, up to an hour away, with the roads in the same colors. Here is how to use it on Melbourne with seven starting hexes, how to read the result, and - honestly - what it is not: not an exact catchment, and blind to the way real catchments overlap.

Read the guide
October 23, 202610 min read

Split evenly: divide a city into areas that hold the same amount

Cut Montreal into nine equal-looking slices and one sales rep gets downtown, with more restaurants in a few streets than another has in a whole suburb. Split evenly draws the areas from the data instead: nine joined-up areas inside the city boundary, each with about 897 places to eat and drink. Here is how to use it, how to read it, and the algorithm behind it - k-means++, a capacity-constrained power diagram and a polish.

Read the guide
October 20, 20268 min read

Your formula: put a map together from counts

Across most of London more cafés than pubs are within a 10-minute walk - but not everywhere. Here is the map type that shows it, Your formula (map algebra: a ratio, a share or a difference), its three shapes and what it refuses.

Read the guide
October 16, 20267 min read

Your data: add a file of points, score it per hex

Add a CSV with lat and lon columns, or an h3 column, and each hex holds how many of your points are there, or the sum or average of a number. Your file stays in this browser; only hexes and their numbers travel with a map request.

Read the guide
October 13, 20268 min read

Range: keep the values you want, hide the rest or score them lower

Want only the hexes where the most people live - the top 30% of London's hexes by residents? A Range keeps one span of a factor's values. Outside it, hide those hexes - a filter - or give them fewer points, sloping to zero like a trapezoidal membership function. Here is each on London.

Read the guide
October 8, 20267 min read

Same pattern: what rises and falls with cafés across London

Across London, all restaurants, shopping and beauty & spa places follow the pattern of cafés very closely, and the owner-occupier share goes the other way. Here is the card that says so - Same pattern - and the rank correlation behind its words.

Read the guide
October 6, 20267 min read

Usually nearby: what sits within a 10-minute walk of a café

Within a 10-minute walk of London's 3,106 café hexes, a pharmacy turns up 83% of the time - 2.0× as often as across the city. Here is the list that says so, Usually nearby, and the lift behind it.

Read the guide
October 2, 20267 min read

Only where …: mute the hexes that miss your conditions

About 2 330 000 Londoners on the map live in a hex with no pharmacy within a 10-minute walk. Here is the control that finds them - Only where … (a boolean mask) - and how to read the muted map it draws.

Read the guide
September 29, 20267 min read

The odd ones out: Local Moran's I, explained simply

The Clusters map finds busy and quiet stretches of a city, but not the exceptions inside them. One switch adds two verdicts - Busy among quiet and Quiet among busy - for a hex genuinely unlike the hexes around it. That is Local Moran's I, worked through with London's pubs.

Read the guide
September 25, 20267 min read

How many kinds and Everyday needs, explained simply

Where can you do your daily errands on foot? Everyday needs counts how many of six kinds of place - grocery store, pharmacy, school, park, café, bakery - are within a 10-minute walk of each hex, from 0 of 6 to 6 of 6. Here is how How many kinds works, worked through in London.

Read the guide
September 23, 20268 min read

Catchment bands, Reach and Rush hour: catchments from one pin

About 11,372 residents live within a 15-minute walk of Trafalgar Square: 827 within 5 minutes, 3,453 at 5–10 and 7,092 at 10–15. Here is how Catchment bands count them, how Reach weighs nearer places more, and how the Rush hour tab compares one drive at different times of the week.

Read the guide
September 19, 20268 min read

Standouts: the ranked groups of hexes every map can find

A single top hex can be a fluke; fifty neighboring hexes pointing the same way are a part of town. Standouts find those groups on any map type, outline them and number them #1, #2, #3 - each map ranking by what it measures. Grocery stores and cafés in London show how.

Read the guide
September 17, 20268 min read

Fair share: the Location Quotient, explained simply

A number on its own tells you little. 2.7× the London average tells you a lot. Here is the formula behind the Fair share map (the Location Quotient), worked through with cafés in London.

Read the guide
September 16, 20268 min read

Missing: gap analysis, explained simply

Two hexes with no grocery store are not the same: one has 3 000 residents, the other has 50. Gap analysis (leakage) tells them apart by counting how many are missing at the London rate. Here is how it works and how to read it.

Read the guide
September 14, 20269 min read

Clusters: hot spot analysis (Getis-Ord Gi*), explained simply

A bright stretch of map is not proof of anything - random scatter makes bright stretches too. The Clusters map runs the standard hot-spot test (Getis-Ord Gi*) and marks only the hexes where there is genuinely more, or less, around than chance would explain. Pubs in London show how, along with the odd ones out and Standouts on this map.

Read the guide
September 11, 20268 min read

How mixed: the Simpson diversity index, explained simply

Forty restaurants that are all Italian and forty split across six cuisines are the same forty on a plain count. 'How mixed' (the Simpson index) tells them apart. Here it is, worked through with Italian, Indian, Chinese, Thai, Mexican and Lebanese restaurants in London.

Read the guide
September 9, 20268 min read

How even: the Shannon diversity index, explained simply

Is the food scene here balanced, or is it one cuisine with a few token exceptions? 'How even' (Shannon evenness) answers exactly that, on a 0-1 scale. Here is the formula, and how it differs from 'How mixed', with six cuisines across London.

Read the guide
September 7, 20269 min read

Per 1 000 residents: turning a count into a rate, explained simply

Two hexes both have one pharmacy. One has 300 residents, the other 6 000. A plain count says they are the same. 'Per 1 000 residents' says the first is twenty times better served. Here is the formula, and the small-numbers trap it has to avoid.

Read the guide
September 4, 20266 min read

Per km²: density, explained simply

A count of 3 means little on its own. 32 per km² is a number you can compare with any city on earth. Here is what 'Per km²' does, when to prefer it over 'Per 1 000 residents', and what it shows for bars across London.

Read the guide
September 3, 20266 min read

Share of its category: what fraction of the whole, explained simply

Ten cafés in a hex is one story if they are the only ten food places, and another if they sit among two hundred restaurants. 'Share of its category' tells you which - here worked through with cafés as a share of everything to eat and drink in London.

Read the guide
September 1, 20268 min read

Within a 10-minute walk: what you can reach, explained simply

An ATM two streets away is still your ATM. 'Within a 10-minute walk' counts the hexes you can reach on foot within 10 minutes, along streets and paths - full weight under 3.5 min, 70% to 7 min, 40% to 10 min - so the map shows what you can actually reach. ATMs in London, hex by hex and then by walk.

Read the guide
August 31, 20268 min read

Must be decent at everything: the geometric mean, explained simply

The usual score lets a strength cover for a weakness. Sometimes that is right; for site selection it often is not. 'Must be decent at everything' (the geometric mean, the way the UN Human Development Index works) scores a hex by its weakest link. Here is what changes on a London map.

Read the guide
August 29, 20269 min read

How each factor is placed: rank, distance from typical, lowest to highest

Cafés are counted in units, population in people. Before a score can add them, every factor has to be placed on one scale. 'Where it ranks', 'How far from typical' and 'Lowest to highest' are three honest ways to do that, and they give different maps. Here is each one on London.

Read the guide
August 27, 202612 min read

Meet Scout Bee (a map you can just talk to)

Type what you're actually trying to do - "a coffee shop somewhere busy in Houston" - and Scout Bee sets up the map, shows you exactly what it changed, keeps your own changes, and lets you undo it. Here is everything it can do, using Houston throughout.

Read the guide
June 17, 20268 min read

How MapBees scores a hex (explained simply)

Every colored hex on the map carries a score from 0–100 answering one question: how good is this exact hex for what you care about? Here is what that number means, how you shape it, and how its hex card shows why - in plain language, on London.

Read the guide
June 18, 202612 min read

How a Cross two (bivariate) map works, explained simply

A Cross two map (the field calls it a bivariate map) shades every hex by two measures at once. Using residential plus outbuilding volume vs. total population in New York City, here is how to read the colors, the units, the real band edges under the legend, and the classification the map chose for each axis - in plain language.

Read the guide
June 26, 20269 min read

How to use Market Share (step by step)

Want to know how much of the local customers a store would actually win - and how much your own stores steal from each other? This step-by-step guide walks you through the Market Share tool from the first click to the final report, with no jargon.

Read the guide
June 26, 20269 min read

How to use Territory Mapping (step by step)

Want to draw a sales territory, franchise area, or store catchment - or bring yours in from a file - and see how many people, shops, and buildings are inside, and where two areas overlap? This guide walks you through Territory Mapping in London, from the first pin to the full dashboard, with no jargon.

Read the guide
July 1, 20268 min read

MapBees supported measures (cities, countries, and tool coverage)

Want one page that shows what MapBees actually supports? This guide lists supported countries and cities, the main data categories, and how the Score, the other map types, Cross two, Your formula, market share, and territory mapping use those measures.

Read the guide
July 1, 20269 min read

The complete measure catalog

A searchable index of all 2,037 measures behind a MapBees score — what each one measures, which countries publish it, and how many cities actually carry it.

Read the guide