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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

Figure 2

Examples of maps tested in the study

Source: 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

Figure 4

The study procedure

Source: own elaboration

Table 1

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 332.2
closed
In which areas among those marked with letters are the trail lengths the shortest?
A/B/C/D
closed
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 person
localising 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/D
finding 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/no
closed

[i] Source: own elaboration

Figure 5

Answer accuracy of participants when using different multivariate map types

Source: own elaboration

Table 2

Accuracy of different task types using the three tested maps

Task typeMap typeAccuracy rate %Cochran's Qppost hoc groupsBonferroni post hocp
T4vM4v
M2v
M1v
73.33
73.33
100.00
4.0000.135---

T2v
M4v
M2v
M1v
60.00
60.00
93.33
4.5450.103---

T1v
M4v
M2v
M1v
73.33
93.33
100.00
6.5000.039 *M4v – M2v
M2v – M1v
M1v – M4v
−1.837
−0.612
−2.449
0.199
1.000
0.043 *

[i] Source: own elaboration

Figure 6

Answer time of participants when using different multivariate map types

Source: own elaboration

Figure 7

Rating of task difficulty after using the three tested maps

Source: own elaboration

Table 3

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

Task typeMap typeM (sec.)SDFriedman's Frppost hoc groupsBonferroni post hocp
T4vM4v
M2v
M1v
49.44
43.99
39.58
20.003
13.300
21.145
3.7330.155---
T2vM4v
M2v
M1v
66,71
57.27
59.86
25.925
24.782
32.335
3.7330.155---
T1vM4v
M2v
M1v
35.89
44.48
27.32
12.147
37.582
15.248
2.1330.344---

[i] Source: own elaboration

Table 4

Rating of task difficulty after using the three tested maps

Task typeMap typeMSDFriedman's Frppost hoc groupsBonferroni post hocp
T4vM4v
M2v
M1v
2.80
1.87
2.00
0.262
0.215
0.239
8,6190.013 *M4v – M2v
M2v – M1v
M1v – M4v
2.373
−0.639
1.734
0.053
1.000
0.249
T2vM4v
M2v
M1v
2.80
2.80
2.33
0.327
0.312
0.232
2.4760.290---
T1vM4v
M2v
M1v
2.20
2.00
1.40
0.200
0.258
0.131
11.8860.003 **M4v – M2v
M2v – M1v
M1v – M4v
0.730
1.826
2.556
1.000
0.204
0.032 *

[i] Source: 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

Figure 9

Fixation duration on maps with legends while using the three tested maps

Source: own elaboration

Table 5

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
T4vM4v
M2v
M1v
27.41
20.17
14.66
12.036
10.762
7.973
8.5330.014 *M4v – M2v
M2v – M1v
M1v – M4v
1.461
1.461
2.921
0.432
0.432
0.010 **
T2vM4v
M2v
M1v
31.86
32.97
21.10
14.368
18.868
15.902
3.3330.189---
T1vM4v
M2v
M1v
16.21
21.04
10.71
5.552
16.389
5.249
12.1330.002 **M4v – M2v
M2v – M1v
M1v – M4v
-0.183
3.104
2.921
1.000
0.006 **
0.010 **

[i] Source: own elaboration

Figure 10

Fixation duration on map AOI while using the three tested maps

Source: own elaboration

Figure 11

Fixation duration on legend AOI while using the three tested maps

Source: own elaboration

Table 6

Fixation duration on map AOI while using the three tested maps

Task typeMap typeM (sec.)SDFriedman's FrPpost hoc groupsBonferroni post hocp
T4vM4v
M2v
M1v
15.25
14.66
12.57
7.269
8.488
7.564
0.9330.627---
T2vM4v
M2v
M1v
10.25
23.81
10.69
5.159
16.415
7.043
6.9330.031 *M4v – M2v
M2v – M1v
M1v – M4v
−2.556
1.826
−0.730
0.032 *
0.204
1.000
T1vM4v
M2v
M1v
7.64
10.52
5.38
4.738
7.918
3.309
6.9330.031 *M4v – M2v
M2v – M1v
M1v – M4v
−1.826
2.556
0.730
0.204
0.032 *
1.000

[i] Source: own elaboration

Table 7

Fixation duration on legend AOI while using the three tested maps

Task typeMap typeM (sec.)SDFriedman's Frppost hoc groupsBonferroni post hocp
T4vM4v
M2v
M1v
12.16
5.51
2.10
8.750
3.844
1.453
24.400<0.001 ***M4v – M2v
M2v – M1v
M1v – M4v
2.191
2.739
4.930
0.085
0.019 *
0.000 ***
T2vM4v
M2v
M1v
21.61
9.16
10.40
12.237
4.566
10.878
14.533<0.001 ***M4v – M2v
M2v – M1v
M1v – M4v
3.469
−0.365
3.104
0.002 **
1.000
0.006 **
T1vM4v
M2v
M1v
8.56
10.52
5.33
5.669
12.600
3.933
0.5330.766---

[i] Source: own elaboration

Figure 12

The share of fixation durations on map itself and on map legend

Source: own elaboration

DOI: https://doi.org/10.2478/mgrsd-2020-0068 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046 (formerly 2084-6118)
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

© 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.