EXPLORING THE POTENTIAL OF CROWD SOURCED DATA TO MAP COMMUTER POINTS OF INTEREST: A CASE STUDY OF JOHANNESBURG

Moyo, T.; Musakwa, W.

doi:https://doi.org/10.5194/isprs-archives-XLII-2-W13-1587-2019

SPATIO-TEMPORAL MODELLING & THE NEW URBAN AGENDA IN POST-APARTHEID SOUTH AFRICA

B. T. Mokoena, T. Moyo, E. N. Makoni, and W. Musakwa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1327–1332, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1327-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1327-2019, 2019

RANKING NODES IN COMPLEX NETWORKS: A CASE STUDY OF THE GAUBUS

T. Moyo and W. Musakwa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1333–1338, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1333-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1333-2019, 2019

AN ANALYSIS TO INVESTIGATE SPATIAL COGNITIVE FACTORS WHICH INFLUENCE CYCLING PATTERNS IN JOHANNESBURG

T. Moyo, W. Musakwa, and B. T. Mokoena

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W11, 43–49, https://doi.org/10.5194/isprs-archives-XLII-4-W11-43-2018,https://doi.org/10.5194/isprs-archives-XLII-4-W11-43-2018, 2018

BUILT-UP AREA AND LAND COVER EXTRACTION USING HIGH RESOLUTION PLEIADES SATELLITE IMAGERY FOR MIDRAND, IN GAUTENG PROVINCE, SOUTH AFRICA

E. Fundisi and W. Musakwa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1151–1156, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1151-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-1151-2017, 2017

MOBILE GIS: A TOOL FOR INFORMAL SETTLEMENT OCCUPANCY AUDIT TO IMPROVE INTEGRATED HUMAN SETTLEMENT IMPLEMENTATION IN EKURHULENI, SOUTH AFRICA

B. T. Mokoena and W. Musakwa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 735–740, https://doi.org/10.5194/isprs-archives-XLI-B2-735-2016,https://doi.org/10.5194/isprs-archives-XLI-B2-735-2016, 2016

TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS

H. K. Malema and W. Musakwa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 555–562, https://doi.org/10.5194/isprs-archives-XLI-B2-555-2016,https://doi.org/10.5194/isprs-archives-XLI-B2-555-2016, 2016

THE POTENTIAL OF STRAVA DATA TO CONTRIBUTE IN NON-MOTORISED TRANSPORT (NMT) PLANNING IN JOHANNESBURG

M. K. Selala and W. Musakwa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 587–594, https://doi.org/10.5194/isprs-archives-XLI-B2-587-2016,https://doi.org/10.5194/isprs-archives-XLI-B2-587-2016, 2016

USING CROWDSOURCED DATA (TWITTER & FACEBOOK) TO DELINEATE THE ORIGIN AND DESTINATION OF COMMUTERS OF THE GAUTRAIN PUBLIC TRANSIT SYSTEM IN SOUTH AFRICA

T. Moyo and W. Musakwa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-2, 143–150, https://doi.org/10.5194/isprs-annals-III-2-143-2016,https://doi.org/10.5194/isprs-annals-III-2-143-2016, 2016

EXPLORING THE POTENTIAL OF CROWD SOURCED DATA TO MAP COMMUTER POINTS OF INTEREST: A CASE STUDY OF JOHANNESBURG

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