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Multivariate mapping for experienced users: comparing extrinsic and intrinsic maps with univariate maps Cover

Multivariate mapping for experienced users: comparing extrinsic and intrinsic maps with univariate maps

Open Access
|Jul 2021

Figures & Tables

Figure 1

Two solutions when designing bivariate maps: extrinsic (left) and intrinsic (right)Source: own elaboration
Two solutions when designing bivariate maps: extrinsic (left) and intrinsic (right)Source: own elaboration

Figure 2

Examples of maps tested in the studySource: own elaboration
Examples of maps tested in the studySource: own elaboration

Figure 3

The sets of maps and task solved by each participant (a participant was randomly assigned to a set)Source: own elaboration
The sets of maps and task solved by each participant (a participant was randomly assigned to a set)Source: own elaboration

Figure 4

The study procedureSource: own elaboration
The study procedureSource: own elaboration

Figure 5

Answer accuracy of participants when using different multivariate map typesSource: own elaboration
Answer accuracy of participants when using different multivariate map typesSource: own elaboration

Figure 6

Answer time of participants when using different multivariate map typesSource: own elaboration
Answer time of participants when using different multivariate map typesSource: own elaboration

Figure 7

Rating of task difficulty after using the three tested mapsSource: own elaboration
Rating of task difficulty after using the three tested mapsSource: own elaboration

Figure 8

Heatmaps showing visual attention distribution when solving different task types (in rows) using the three tested map types (in columns)Source: own elaboration
Heatmaps showing visual attention distribution when solving different task types (in rows) using the three tested map types (in columns)Source: own elaboration

Figure 9

Fixation duration on maps with legends while using the three tested mapsSource: own elaboration
Fixation duration on maps with legends while using the three tested mapsSource: own elaboration

Figure 10

Fixation duration on map AOI while using the three tested mapsSource: own elaboration
Fixation duration on map AOI while using the three tested mapsSource: own elaboration

Figure 11

Fixation duration on legend AOI while using the three tested mapsSource: own elaboration
Fixation duration on legend AOI while using the three tested mapsSource: own elaboration

Figure 12

The share of fixation durations on map itself and on map legendSource: own elaboration
The share of fixation durations on map itself and on map legendSource: own elaboration

Examples of questions asked in the study

Task typeNumber of variables in the taskQuestionOperation typeQuestion type
T1v1Indicate the area visited by the least number of individual tourists.extracting a single valueopen
What hotel room price per night is possible in the area marked with symbol ‘X’?PLN 42.8/PLN 75.6/PLN 137.9/PLN 332.2closed
In which areas among those marked with letters are the trail lengths the shortest?A/B/C/Dclosed
T2v2What is the income from tourism in the area visited by the highest number of tourists?PLN 7.5K–10K per person/PLN 10.1K–15K per person/PLN 15.1K–25K per person/PLN 25.1K–47.5K per personlocalising an area according to values of two variablesclosed
Indicate the area with the lowest hotel room price per night and, at the same time, the lowest number of restaurants.open
Among areas with 11–20 tourists per 10 km of bike routes, indicate the one with the shortest length of bike trails.open
T4v4In which group of areas marked with letters are the values of all variables the lowest?A/B/C/Dfinding areas representing extreme values of all four variablesclosed
Indicate the area with extreme (min or max) values of at least three variables.open
Are there areas with the highest values for all four indices?yes/noclosed

Accuracy of different task types using the three tested maps

Task typeMap typeAccuracy rate %Cochran's Qppost hoc groupsBonferroni post hocp
T4vM4vM2vM1v73.3373.33100.004.0000.135---
T2vM4vM2vM1v60.0060.0093.334.5450.103---
T1vM4vM2vM1v73.3393.33100.006.5000.039 *M4v – M2vM2v – M1vM1v – M4v−1.837−0.612−2.4490.1991.0000.043 *

Fixation duration on legend AOI while using the three tested maps

Task typeMap typeM (sec.)SDFriedman's Frppost hoc groupsBonferroni post hocp
T4vM4vM2vM1v12.165.512.108.7503.8441.45324.400<0.001 ***M4v – M2vM2v – M1vM1v – M4v2.1912.7394.9300.0850.019 *0.000 ***
T2vM4vM2vM1v21.619.1610.4012.2374.56610.87814.533<0.001 ***M4v – M2vM2v – M1vM1v – M4v3.469−0.3653.1040.002 **1.0000.006 **
T1vM4vM2vM1v8.5610.525.335.66912.6003.9330.5330.766---

Answer time while solving different task types using the three tested maps

Task typeMap typeM (sec.)SDFriedman's Frppost hoc groupsBonferroni post hocp
T4vM4vM2vM1v49.4443.9939.5820.00313.30021.1453.7330.155---
T2vM4vM2vM1v66,7157.2759.8625.92524.78232.3353.7330.155---
T1vM4vM2vM1v35.8944.4827.3212.14737.58215.2482.1330.344---

Fixation duration on maps with legends while solving different task types using the three tested maps

Task typeMap typeM (sec.)SDFriedman's FrPpost hoc groupsBonferroni post hocp
T4vM4vM2vM1v27.4120.1714.6612.03610.7627.9738.5330.014 *M4v – M2vM2v – M1vM1v – M4v1.4611.4612.9210.4320.4320.010 **
T2vM4vM2vM1v31.8632.9721.1014.36818.86815.9023.3330.189---
T1vM4vM2vM1v16.2121.0410.715.55216.3895.24912.1330.002 **M4v – M2vM2v – M1vM1v – M4v-0.1833.1042.9211.0000.006 **0.010 **

Rating of task difficulty after using the three tested maps

Task typeMap typeMSDFriedman's Frppost hoc groupsBonferroni post hocp
T4vM4vM2vM1v2.801.872.000.2620.2150.2398,6190.013 *M4v – M2vM2v – M1vM1v – M4v2.373−0.6391.7340.0531.0000.249
T2vM4vM2vM1v2.802.802.330.3270.3120.2322.4760.290---
T1vM4vM2vM1v2.202.001.400.2000.2580.13111.8860.003 **M4v – M2vM2v – M1vM1v – M4v0.7301.8262.5561.0000.2040.032 *

Fixation duration on map AOI while using the three tested maps

Task typeMap typeM (sec.)SDFriedman's FrPpost hoc groupsBonferroni post hocp
T4vM4vM2vM1v15.2514.6612.577.2698.4887.5640.9330.627---
T2vM4vM2vM1v10.2523.8110.695.15916.4157.0436.9330.031 *M4v – M2vM2v – M1vM1v – M4v−2.5561.826−0.7300.032 *0.2041.000
T1vM4vM2vM1v7.6410.525.384.7387.9183.3096.9330.031 *M4v – M2vM2v – M1vM1v – M4v−1.8262.5560.7300.2040.032 *1.000
DOI: https://doi.org/10.2478/mgrsd-2020-0068 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
Language: English
Page range: 259 - 271
Submitted on: Jun 22, 2021
Accepted on: Jul 6, 2021
Published on: Jul 25, 2021
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Jolanta Korycka-Skorupa, Izabela Gołębiowska, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.