From d3a996d9117f6aef5d380772873f12a086b1ce3b Mon Sep 17 00:00:00 2001 From: mpadge Date: Thu, 12 Sep 2024 11:31:33 +0000 Subject: [PATCH] deploy: a1d01777afe7eed5833bb1944304c2afd0695137 --- _sources/overview.rst.txt | 218 +++++++++++++++++++++----------------- objects.inv | Bin 1121 -> 1112 bytes overview.html | 211 ++++++++++++++++++------------------ searchindex.js | 2 +- 4 files changed, 231 insertions(+), 200 deletions(-) diff --git a/_sources/overview.rst.txt b/_sources/overview.rst.txt index 96ba67e..fbf7c09 100644 --- a/_sources/overview.rst.txt +++ b/_sources/overview.rst.txt @@ -4,49 +4,72 @@ Overview This chapter provides an overview of the four main pages of the `Urban Analyst platform `_: -- The `summarise page `_ provides summary - overviews for each city of key statistical properties and relationships with - other cities; -- The `compare page `_ compares aggregate - statistics for all cities; -- The `map page `_ shows interactive maps for - each city; -- The `transform page `_ shows the effect of - transforming any chosen city to become more like other cities. - -The best place to start is the `Summarise -page `_. The summary for any chosen city +- The |summ-page| provides summary overviews for each city of key statistical + properties and relationships with other cities; +- The |comp-page| compares aggregate statistics for all cities; +- The |map-page| shows interactive maps for each city; +- The |transform-page| shows the effect of transforming any chosen city to + become more like other cities. + +The best place to start is the |summ-page|. The summary for any chosen city will indicate which properties of the other pages are most important. Each of the latter three pages also includes a pop-up "guided tour" explaining the key features. These tours will automatically start the first time a page is opened, or can be manually opened by clicking on the "Help" button on any of the main pages. +.. |summ-page| raw:: html + + + Summarise page + +.. |comp-page| raw:: html + + + Compare page + +.. |comp-page-short| raw:: html + + + Compare + +.. |map-page| raw:: html + + + Map page + +.. |map-page-short| raw:: html + + + Map + +.. |transform-page| raw:: html + + + Transform page + ---- Summarise ********* -The `Summarise page `_ provides an overview -of the general statistical properties of any chosen UA city. Statistics for -each chosen city are compared with those for all other cities, and textual -summaries generated for all statistics which are significantly different. -Summaries are provided not just for individual statistics, but for the -strengths of relationship between all pairs of statistics. +The |summ-page| provides an overview of the general statistical properties of +any chosen UA city. Statistics for each chosen city are compared with those for +all other cities, and textual summaries generated for all statistics which are +significantly different. Summaries are provided not just for individual +statistics, but for the strengths of relationship between all pairs of +statistics. + +The values described in this initial part of the |summ-page| indicate which +statistics might be particularly worth examining in both the |comp-page-short| +and |map-page-short| pages. -The values described in this initial part of the `Summarise -page `_ indicate which statistics might be -particularly worth examining in both the `Compare -`_ and the -`Map `_ pages. -The `Summarise page `_ also includes a -section describing the best "Target city" for each chosen city. As explained -there, the best target city is the city which is best in all the ways that the -chosen city is worse than average. This target city, and corresponding -variables described there, indicate which cities and variables might be -particularly worth examining in the `Transform -page `_. +The |summ-page| also includes a section describing the best "Target city" for +each chosen city. As explained there, the best target city is the city which is +best in all the ways that the chosen city is worse than average. This target +city, and corresponding variables described there, indicate which cities and +variables might be particularly worth examining in the |transform-page|. ---- @@ -54,44 +77,42 @@ page `_. Compare ******* -The `Compare page `_ enables comparisons -between all UA cities, both in terms of single variables and relationships -between any selected pair of variables. A pull-down panel enables each variable -or "layer" to be selected. The page then displays a graphical representation of -values of the chosen layer for all cities. As in all UA pages, lower values are -generally better than higher values. The control panel includes an "Explain -Layer" button which opens a text panel explaining details of the chosen -variable. +The |comp-page| enables comparisons between all UA cities, both in terms of +single variables and relationships between any selected pair of variables. A +pull-down panel enables each variable or "layer" to be selected. The page then +displays a graphical representation of values of the chosen layer for all +cities. As in all UA pages, lower values are generally better than higher +values. The control panel includes an "Explain Layer" button which opens a text +panel explaining details of the chosen variable. Single and Paired Variables *************************** -The control panel of the `compare page `_ -includes an option to select "paired" variables. The resultant graphs then -display the strength of relationship between any chosen *pair* of variables. -For example, choosing social index and the nature index will display the -strength of relationship between access to natural spaces and social -disadvantage. Both of these variables are measured such that low values are -better than high values. A positive relationship between the two would then -mean that lower social disadvantage is coupled with better access to natural -spaces, while high social disadvantage is coupled with worse access to natural -spaces. Conversely, a negative relationship would indicate that higher social -disadvantage was coupled with better access to natural resources. Or, in the -words brought up by clicking the "Explain Layer" button, "Low values indicate -that good access to natural spaces is coupled with disadvantageous social -conditions." +The control panel of the |comp-page| includes an option to select "paired" +variables. The resultant graphs then display the strength of relationship +between any chosen *pair* of variables. For example, choosing social index and +the nature index will display the strength of relationship between access to +natural spaces and social disadvantage. Both of these variables are measured +such that low values are better than high values. A positive relationship +between the two would then mean that lower social disadvantage is coupled with +better access to natural spaces, while high social disadvantage is coupled with +worse access to natural spaces. Conversely, a negative relationship would +indicate that higher social disadvantage was coupled with better access to +natural resources. Or, in the words brought up by clicking the "Explain Layer" +button, "Low values indicate that good access to natural spaces is coupled with +disadvantageous social conditions." ---- Map *** -The `Map page `_ shows interactive maps for each -city, with values for all UA variables displayed in small polygons. These -polygons are defined by city-specific assessments of spatial disadvantage. -Berlin, for example, regularly measures a compound index of social disadvantage -aggregated into XX polygons. The map for Berlin uses these polygons provided by -the city to aggregate all measured variables. The variables are described in a +The |map-page| shows interactive maps for each city, with values for all UA +variables displayed in small polygons. These polygons are defined by +city-specific assessments of spatial disadvantage. Berlin, for example, +regularly measures a compound index of social disadvantage aggregated into XX +polygons. The map for Berlin uses these polygons provided by the city to +aggregate all measured variables. The variables are described in a :ref:`subsequent chapter`. Details of the polygons for each city can be seen by selecting the "Social" @@ -108,47 +129,48 @@ button which opens a text panel explaining details of the chosen variable. Transform ********* -The `Transform page `_ enables the -properties of any chosen city to be transformed to reflect equivalent -properties of some chosen "target" city. This page is best explained by an -example. Looking at the `Compare page `_ for -the "bike index" shows that Berlin has relatively poor bicycle infrastructure, -while Paris is a very good city for cyclists. The -`Transform page `_ can be used to visualise -how Berlin could best transform its current bicycle infrastructure to have an -overall distribution across the whole city equivalent to Paris. Conversely, -Paris has poorer access to natural spaces than Berlin, and the page could also -be used to examine how Paris could best transform its access to natural spaces -so that it functioned more like Berlin. - -Urban Analyst values displayed in the `Map page `_ -are aggregated from generally hundreds of thousands of individual calculations -at every street junction in each city. For the chosen variable, subsets of -these individual data points are sampled from each city, and the statistical -distribution for the chosen city is then transformed by changing each point by -the smallest amount possible so that they reflect the distribution in the -target city. These values are then aggregated into the polygons defined for the -city, to produce a visual representation of the least-cost transformation that -would be necessary for the city to have the same distribution as that of the -target city. The transformation algorithm is described in detail in the final -:ref:`*Software and Algorithms* chapter`. +The |transform-page| enables the properties of any chosen city to be +transformed to reflect equivalent properties of some chosen "target" city. This +page is best explained by an example. Looking at the |comp-page| for the "bike +index" shows that Berlin has relatively poor bicycle infrastructure, while +Paris is a very good city for cyclists. The |transform-page| can be used to +visualise how Berlin could best transform its current bicycle infrastructure to +have an overall distribution across the whole city equivalent to Paris. +Conversely, Paris has poorer access to natural spaces than Berlin, and the page +could also be used to examine how Paris could best transform its access to +natural spaces so that it functioned more like Berlin. + +Urban Analyst values displayed in the |map-page| are aggregated from generally +hundreds of thousands of individual calculations at every street junction in +each city. For the chosen variable, subsets of these individual data points are +sampled from each city, and the statistical distribution for the chosen city is +then transformed by changing each point by the smallest amount possible so that +they reflect the distribution in the target city. These values are then +aggregated into the polygons defined for the city, to produce a visual +representation of the least-cost transformation that would be necessary for the +city to have the same distribution as that of the target city. The +transformation algorithm is described in detail in the final |sw-chapter|. + +.. |sw-chapter| raw:: html + + + Software and Algorithms chapter Extra Layers ============ -The `Transform page `_ includes an -additional button labelled *Extra Layers*. The transformations described above -described transforming single layers or variables. The *Extra Layers* panel -enables transformations not just of single chosen variables, but also of their -relationships with other variables. Examining the `Compare -page `_, for example, shows that not only does -Paris provide poorer access to natural spaces than Berlin, but also that Berlin -has a better relationship between access to natural spaces and social -disadvantage. (This can be seen by clicking on the "*Paired*" layer option and -selecting those two layers.) The *Extra Layers* panel can be used in this case -to examine not just how Paris might best transform its access to nature to look -more like Berlin, but also how it might also improve its relationship between -access to nature and social disadvantage. +The |transform-page| includes an additional button labelled *Extra Layers*. The +transformations described above described transforming single layers or +variables. The *Extra Layers* panel enables transformations not just of single +chosen variables, but also of their relationships with other variables. +Examining the |comp-page|, for example, shows that not only does Paris provide +poorer access to natural spaces than Berlin, but also that Berlin has a better +relationship between access to natural spaces and social disadvantage. (This +can be seen by clicking on the "*Paired*" layer option and selecting those two +layers.) The *Extra Layers* panel can be used in this case to examine not just +how Paris might best transform its access to nature to look more like Berlin, +but also how it might also improve its relationship between access to nature +and social disadvantage. By default, values of *Extra Layers* are automatically selected as those which have better relationships in the chosen target city. These default values will @@ -159,9 +181,9 @@ default selection after changing any of these options. Output Layer ============ -Finally, the `Transform page `_ also has an -*Output Layer* option at the bottom of the control panel. This enables results -of the transformation algorithm to be displayed in one of four ways: +Finally, the |transform-page| also has an *Output Layer* option at the bottom +of the control panel. This enables results of the transformation algorithm to +be displayed in one of four ways: 1. *Original* to show original values, prior to transformation; 2. *Transformed* to show the actual transformed values; diff --git a/objects.inv b/objects.inv index 63523f807288e7f9b41eba4275eabcb4c2bb0042..9f343867af1583d8ec2e8f71cf4f09d5d1b3d38a 100644 GIT binary patch delta 967 zcmV;&133KQ2-paag?~5cg0p>p|WI1a?A}NY&Z?zm9r%bifaLJrFaq0{^aY>!%xuw>%|46pSHGHBcW(3>oZx%2wO%}MZcKKoMyAy_qXv_h*{u=ror50X##D~<#YJh;`3hx&EE z(J%hbR*we#N`J7psI{+z2mb{bQ?rG2Of^_MnktU2T1RcuX)V`FDD%K+NIb~AFUy)F zowqz!83Ot>E-KtouqG^)E|u)Uja^Gez(K-&4W#d3L5^Gr)$+eJJMTu%p8Y53G-gK~ zF&uKt*H5|CP$dckO1g4L`F2wY4V-DKF-^kJvo?R0>wgxJ;E^C4cqA&$s6nh}>OvbP zo6%olUx2=9g*s_@;_bS;=R(N^VDR&$eeav%JHz8P!-yX} z{k*A16iQ=0&R7lyEj;yF{QNwdnR&vWm>E0NeagCNxZmc#B))Ij^y_Z!GK@@Zacyjq pAOs&Gug6j%%sDL1IrBF?_mYQzf{dzXquPU1&$a#9126p82;m5jg?}~>z4KQP*u74HUJA6AVzUX*1(IDOc6z5J+9E=c0!i8NzwhwN zBDI#*y@}*|Z$>l2;jq2ca&(+B)l$PHbK=CQGwj4Ab)x5%TG#$1*&f&MJ3TQY*j{q` zTjzTDz!Dvh4w(*-4w3#;TKJwV?4pI8hY%)@+6dS6GhG)z%JS<`T9sp~jBj8f8;IrevLMJQ)Xw4Ns%2|jpm zs~ZpX>wu%5{eQ_;j|M$Uu(+tTuY?Ex1sPMbg>_6dSU#F6j;>lqZPRHj*NZ6gz-dT4 z$h^)kawSyDf7R@~8$EmR zpQO{69d*QT$T43)9n!O5y;=TAzp;Vzy1j7|hYRF`7_o2o>)0LQom33FKW5wx z44Y2u*J3ZEaF^A@CLRPH)V$YaO`^1lxgWG~cYoDt#VE@4758^nrKw^yzBcAA<$x>{ z-vYBx8r?9u*c{j5A91lc(zi$o&5>kWS-TaNzNJ+ST`=@G!Ld|+`VM#_;j>I7Bt+z< zCpcvI=A8m53hskS++19T#Ht|UP=)p1iNWH9bZ5@hUFoctkeEe! zzkjbQ6N}Gn)6FKbuou1E#`6t3a^hbf8DE}(34{H7!NWR%krsMkq!sRMC&^8eoGQ`k zMre$AuaAZeooJTK%@X#GSK3?FBzX`m>$VzBk)06U-(pU+<^FwhZeE436qH31W8eF> z$k(sRHp7S?KmE+9M-)n1. Introduction
  • 2. Overview
    • 2.1. Summarise
      • -
    • 2.2. Compare
      • +
    • 2.2. Compare
    • 2.3. Single and Paired Variables
      • -
    • 2.4. Map
      • +
    • 2.4. Map
    • 2.5. Transform
      • 2.5.1. Extra Layers
      • 2.5.2. Output Layer
        • @@ -94,18 +94,19 @@

        2. OverviewUrban Analyst platform:

          -

        • The summarise page provides summary -overviews for each city of key statistical properties and relationships with -other cities;

          • -

        • The compare page compares aggregate -statistics for all cities;

          • -

        • The map page shows interactive maps for -each city;

          • -

        • The transform page shows the effect of -transforming any chosen city to become more like other cities.

          • +

        • The +Summarise page provides summary overviews for each city of key statistical +properties and relationships with other cities;

          • +

        • The +Compare page compares aggregate statistics for all cities;

          • +

        • The +Map page shows interactive maps for each city;

          • +

        • The +Transform page shows the effect of transforming any chosen city to +become more like other cities.

        -

        The best place to start is the Summarise -page. The summary for any chosen city +

        The best place to start is the +Summarise page. The summary for any chosen city will indicate which properties of the other pages are most important. Each of the latter three pages also includes a pop-up “guided tour” explaining the key features. These tours will automatically start the first time a page is opened, @@ -114,62 +115,66 @@

        2. Overview

        2.1. Summarise

        -

        The Summarise page provides an overview -of the general statistical properties of any chosen UA city. Statistics for -each chosen city are compared with those for all other cities, and textual -summaries generated for all statistics which are significantly different. -Summaries are provided not just for individual statistics, but for the -strengths of relationship between all pairs of statistics.

        -

        The values described in this initial part of the Summarise -page indicate which statistics might be -particularly worth examining in both the Compare and the -Map pages.

        -

        The Summarise page also includes a -section describing the best “Target city” for each chosen city. As explained -there, the best target city is the city which is best in all the ways that the -chosen city is worse than average. This target city, and corresponding -variables described there, indicate which cities and variables might be -particularly worth examining in the Transform -page.

        +

        The +Summarise page provides an overview of the general statistical properties of +any chosen UA city. Statistics for each chosen city are compared with those for +all other cities, and textual summaries generated for all statistics which are +significantly different. Summaries are provided not just for individual +statistics, but for the strengths of relationship between all pairs of +statistics.

        +

        The values described in this initial part of the +Summarise page indicate which +statistics might be particularly worth examining in both the +Compare +and +Map pages.

        +

        The +Summarise page also includes a section describing the best “Target city” for +each chosen city. As explained there, the best target city is the city which is +best in all the ways that the chosen city is worse than average. This target +city, and corresponding variables described there, indicate which cities and +variables might be particularly worth examining in the +Transform page.

        -
        -

        2.2. Compare

        -

        The Compare page enables comparisons -between all UA cities, both in terms of single variables and relationships -between any selected pair of variables. A pull-down panel enables each variable -or “layer” to be selected. The page then displays a graphical representation of -values of the chosen layer for all cities. As in all UA pages, lower values are -generally better than higher values. The control panel includes an “Explain -Layer” button which opens a text panel explaining details of the chosen -variable.

        +
        +

        2.2. Compare

        +

        The +Compare page enables comparisons between all UA cities, both in terms of +single variables and relationships between any selected pair of variables. A +pull-down panel enables each variable or “layer” to be selected. The page then +displays a graphical representation of values of the chosen layer for all +cities. As in all UA pages, lower values are generally better than higher +values. The control panel includes an “Explain Layer” button which opens a text +panel explaining details of the chosen variable.

        2.3. Single and Paired Variables

        -

        The control panel of the compare page -includes an option to select “paired” variables. The resultant graphs then -display the strength of relationship between any chosen pair of variables. -For example, choosing social index and the nature index will display the -strength of relationship between access to natural spaces and social -disadvantage. Both of these variables are measured such that low values are -better than high values. A positive relationship between the two would then -mean that lower social disadvantage is coupled with better access to natural -spaces, while high social disadvantage is coupled with worse access to natural -spaces. Conversely, a negative relationship would indicate that higher social -disadvantage was coupled with better access to natural resources. Or, in the -words brought up by clicking the “Explain Layer” button, “Low values indicate -that good access to natural spaces is coupled with disadvantageous social -conditions.”

        +

        The control panel of the +Compare page includes an option to select “paired” +variables. The resultant graphs then display the strength of relationship +between any chosen pair of variables. For example, choosing social index and +the nature index will display the strength of relationship between access to +natural spaces and social disadvantage. Both of these variables are measured +such that low values are better than high values. A positive relationship +between the two would then mean that lower social disadvantage is coupled with +better access to natural spaces, while high social disadvantage is coupled with +worse access to natural spaces. Conversely, a negative relationship would +indicate that higher social disadvantage was coupled with better access to +natural resources. Or, in the words brought up by clicking the “Explain Layer” +button, “Low values indicate that good access to natural spaces is coupled with +disadvantageous social conditions.”

        -
        -

        2.4. Map

        -

        The Map page shows interactive maps for each -city, with values for all UA variables displayed in small polygons. These -polygons are defined by city-specific assessments of spatial disadvantage. -Berlin, for example, regularly measures a compound index of social disadvantage -aggregated into XX polygons. The map for Berlin uses these polygons provided by -the city to aggregate all measured variables. The variables are described in a +

        +

        2.4. Map

        +

        The +Map page shows interactive maps for each city, with values for all UA +variables displayed in small polygons. These polygons are defined by +city-specific assessments of spatial disadvantage. Berlin, for example, +regularly measures a compound index of social disadvantage aggregated into XX +polygons. The map for Berlin uses these polygons provided by the city to +aggregate all measured variables. The variables are described in a subsequent chapter.

        Details of the polygons for each city can be seen by selecting the “Social” layer in the Map page and then clicking on the “Explain Layer” button.

        @@ -182,44 +187,47 @@

        2.4. Map

        2.5. Transform

        -

        The Transform page enables the -properties of any chosen city to be transformed to reflect equivalent -properties of some chosen “target” city. This page is best explained by an -example. Looking at the Compare page for -the “bike index” shows that Berlin has relatively poor bicycle infrastructure, -while Paris is a very good city for cyclists. The -Transform page can be used to visualise -how Berlin could best transform its current bicycle infrastructure to have an -overall distribution across the whole city equivalent to Paris. Conversely, -Paris has poorer access to natural spaces than Berlin, and the page could also -be used to examine how Paris could best transform its access to natural spaces -so that it functioned more like Berlin.

        -

        Urban Analyst values displayed in the Map page -are aggregated from generally hundreds of thousands of individual calculations -at every street junction in each city. For the chosen variable, subsets of -these individual data points are sampled from each city, and the statistical -distribution for the chosen city is then transformed by changing each point by -the smallest amount possible so that they reflect the distribution in the -target city. These values are then aggregated into the polygons defined for the -city, to produce a visual representation of the least-cost transformation that -would be necessary for the city to have the same distribution as that of the -target city. The transformation algorithm is described in detail in the final -*Software and Algorithms* chapter.

        +

        The +Transform page enables the properties of any chosen city to be +transformed to reflect equivalent properties of some chosen “target” city. This +page is best explained by an example. Looking at the +Compare page for the “bike +index” shows that Berlin has relatively poor bicycle infrastructure, while +Paris is a very good city for cyclists. The +Transform page can be used to +visualise how Berlin could best transform its current bicycle infrastructure to +have an overall distribution across the whole city equivalent to Paris. +Conversely, Paris has poorer access to natural spaces than Berlin, and the page +could also be used to examine how Paris could best transform its access to +natural spaces so that it functioned more like Berlin.

        +

        Urban Analyst values displayed in the +Map page are aggregated from generally +hundreds of thousands of individual calculations at every street junction in +each city. For the chosen variable, subsets of these individual data points are +sampled from each city, and the statistical distribution for the chosen city is +then transformed by changing each point by the smallest amount possible so that +they reflect the distribution in the target city. These values are then +aggregated into the polygons defined for the city, to produce a visual +representation of the least-cost transformation that would be necessary for the +city to have the same distribution as that of the target city. The +transformation algorithm is described in detail in the final +Software and Algorithms chapter.

        2.5.1. Extra Layers

        -

        The Transform page includes an -additional button labelled Extra Layers. The transformations described above -described transforming single layers or variables. The Extra Layers panel -enables transformations not just of single chosen variables, but also of their -relationships with other variables. Examining the Compare -page, for example, shows that not only does -Paris provide poorer access to natural spaces than Berlin, but also that Berlin -has a better relationship between access to natural spaces and social -disadvantage. (This can be seen by clicking on the “Paired” layer option and -selecting those two layers.) The Extra Layers panel can be used in this case -to examine not just how Paris might best transform its access to nature to look -more like Berlin, but also how it might also improve its relationship between -access to nature and social disadvantage.

        +

        The +Transform page includes an additional button labelled Extra Layers. The +transformations described above described transforming single layers or +variables. The Extra Layers panel enables transformations not just of single +chosen variables, but also of their relationships with other variables. +Examining the +Compare page, for example, shows that not only does Paris provide +poorer access to natural spaces than Berlin, but also that Berlin has a better +relationship between access to natural spaces and social disadvantage. (This +can be seen by clicking on the “Paired” layer option and selecting those two +layers.) The Extra Layers panel can be used in this case to examine not just +how Paris might best transform its access to nature to look more like Berlin, +but also how it might also improve its relationship between access to nature +and social disadvantage.

        By default, values of Extra Layers are automatically selected as those which have better relationships in the chosen target city. These default values will thus change for each choice of target city and focal layer. It may be necessary @@ -228,9 +236,10 @@

        2.5.1. Extra Layers

        2.5.2. Output Layer

        -

        Finally, the Transform page also has an -Output Layer option at the bottom of the control panel. This enables results -of the transformation algorithm to be displayed in one of four ways:

        +

        Finally, the +Transform page also has an Output Layer option at the bottom +of the control panel. This enables results of the transformation algorithm to +be displayed in one of four ways:

        1. Original to show original values, prior to transformation;

        2. Transformed to show the actual transformed values;

          3. diff --git a/searchindex.js b/searchindex.js index 1e706f3..6375691 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"Absolute and Relative Travel Times": [[6, "absolute-and-relative-travel-times"]], "Algorithms": [[5, "algorithms"]], "Bicycle infrastructure": [[6, "bicycle-infrastructure"]], "Can I access the full data?": [[3, "can-i-access-the-full-data"]], "Compare": [[4, "id6"]], "Conclusions": [[1, "conclusions"]], "Contents": [[2, null]], "Data Sources": [[0, null]], "Distance to nearest schools": [[6, "distance-to-nearest-schools"]], "Example": [[1, null]], "Extra Layers": [[4, "extra-layers"]], "Housing value and rent": [[6, "housing-value-and-rent"]], "How does it work?": [[3, "how-does-it-work"]], "How many calculations are involved?": [[3, "how-many-calculations-are-involved"]], "Individual Variables": [[1, "individual-variables"]], "Intervals and Numbers of Transfers": [[6, "intervals-and-numbers-of-transfers"]], "Introduction": [[3, null]], "Lessons for Berlin": [[1, "lessons-for-berlin"]], "Lessons for Paris": [[1, "lessons-for-paris"]], "Map": [[4, "id9"]], "Natural space accessibility": [[6, "natural-space-accessibility"]], "Non-Transport Variables": [[1, "non-transport-variables"]], "Numbers of calculations": [[3, "id1"]], "Other Variables": [[1, "other-variables"]], "Output Layer": [[4, "output-layer"]], "Overview": [[4, null]], "Pairwise Relationships between Variables": [[1, "id3"]], "Parking index": [[6, "parking-index"]], "Population density": [[6, "population-density"]], "Relationships between variables": [[1, "relationships-between-variables"]], "Single and Paired Variables": [[4, "single-and-paired-variables"]], "Socio-demographic variables": [[6, "socio-demographic-variables"]], "Software and Algorithms": [[5, null]], "Summarise": [[4, "summarise"]], "The Compound Travel Statistic": [[6, "the-compound-travel-statistic"]], "Transform": [[4, "transform"]], "Transport": [[1, 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Data Sources", "3. Example", "Urban Analyst", "1. Introduction", "2. Overview", "6. Software and Algorithms", "4. 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{"Absolute and Relative Travel Times": [[6, "absolute-and-relative-travel-times"]], "Algorithms": [[5, "algorithms"]], "Bicycle infrastructure": [[6, "bicycle-infrastructure"]], "Can I access the full data?": [[3, "can-i-access-the-full-data"]], "Compare": [[4, "compare"]], "Conclusions": [[1, "conclusions"]], "Contents": [[2, null]], "Data Sources": [[0, null]], "Distance to nearest schools": [[6, "distance-to-nearest-schools"]], "Example": [[1, null]], "Extra Layers": [[4, "extra-layers"]], "Housing value and rent": [[6, "housing-value-and-rent"]], "How does it work?": [[3, "how-does-it-work"]], "How many calculations are involved?": [[3, "how-many-calculations-are-involved"]], "Individual Variables": [[1, "individual-variables"]], "Intervals and Numbers of Transfers": [[6, "intervals-and-numbers-of-transfers"]], "Introduction": [[3, null]], "Lessons for Berlin": [[1, "lessons-for-berlin"]], "Lessons for Paris": [[1, "lessons-for-paris"]], "Map": [[4, "map"]], "Natural space 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