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mobmap hands-on @ foss4g seoul 2015

D17f3f23ee46d562afa91cfd199aa7a1?s=47 microbase
September 14, 2015
Programming
0
78

mobmap hands-on @ foss4g seoul 2015

data: http://share.microbase.co/mobmap/sample_2013_07_01.zip

D17f3f23ee46d562afa91cfd199aa7a1?s=128

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September 14, 2015
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Transcript

  1. '044( 4FQ )JSPBLJ4FOHPLV 1I% 4BUPTIJ6FZBNB 3JUTV4BLVSBNBDIJ .PCNBQ*OUSPEVDUJPOUP 1FPQMF'MPX"OBMZTJT

  2. 1VSQPTFBOE4VNNBSZ 5IJTDPVSTFDPWFSTIPXUPWJTVBMJTFBOEBOBMZTJTUJNF TFSJFTEBUBTVDIBTUSBKFDUPSZEBUBVTJOH.PCNBQGPS CFHJOOFST*OUIJTDPVSTFXFXJMMVTFTJNVMBUFEQFPQMF qPXEBUBEFWFMPQFECZ5IF6OJWFSTJUZPG5PLZP $FOUFS GPS4QBUJBM*OGPSNBUJPO4DJFODF $4*4 

  3. About microbase inc. microbase Inc. is the company which creates

    micro demographic data in Japan. This company has created simulated urban data such as people flow or people life style using open data. The member of microbase Inc. aim to create micro demographic data all over the world and simulation platform such as “Sim City” using these data. Real-estate values Building Age Future Population Micro Census Personal LifeStyle

  4. Team mobmap ࡾҀ࢓ɺ࢖Ҁ࢓ɺݍ੓׮~!!

  5. "%&/%" 4&44*0/*/530%6$5*0/  ɾ.PCNBQ  ɾ)BOETPOEBUB 4&44*0/"/"-:4*4  ɾ#BTJDPQFSBUJPO 

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  6. SESSION 1 INTRODUCTION

  7. ߨश಺༰ ঎ళ֗ͷདྷ๚ऀ͸Ͳ͔͜ΒདྷΔͷ͔ʁ Where do visitors come from?

  8. 4PGUXBSFVTFEUIJT)BOETPO .PCNBQ (PPHMF$ISPNF 2(*4ʢ'SFFʣ (PPHMF&BSUI 'SFF

  9. 2013–11–23 16:18:21 35.979504,139.827072 Visualising Moving Data, Interactively Using Mobmap for

    Google Chrome Satoshi Ueyama EDITORIA, The University of Tokyo http://shiba.iis.u-tokyo.ac.jp/member/ueyama/mm/

  10. ɹ8IBU`TNPCNBQ w 5PPMGPSWJTVBMJTJOHBOEBOBMZ[JOHUJNFTFSJFTEBUB FY(14MPH  w 4IPXBOJNBUJPOGPSUJNFTFSJFTDIBOHFPO(PPHMF.BQT w 8JOEPXT .BD

    -JOVYTVQQPSUT 1500,1,1,1998/10/01 06:00:00,139.9249985549,35.7318406842,2,7,4110309,14,97,33,,97 3700,1,1,1998/10/01 06:00:00,139.9123053021,35.753511987,1,10,4112107,10,97,33,,97 7300,1,1,1998/10/01 06:00:00,139.9132597066,35.7134959947,1,7,4114009,8 ,97,40,,97 5500,1,1,1998/10/01 06:00:00,139.9374260851,35.7387718937,2,12,4113004,14,97,32,,97 9500,1,1,1998/10/01 06:00:00,139.9268670539,35.6868715236,1,2,4115011,12,97,26,,97 9700,1,1,1998/10/01 06:00:00,139.9238668934,35.6892555155,2,6,4115016,14,97,32,,97 11400,1,1,1998/10/01 06:00:00,139.9293917865,35.6808909812,1,6,4115107,9 ,97,36,,97 11800,1,1,1998/10/01 06:00:00,139.9077829215,35.6792209637,2,6,4115202,14,97,21,,97 10100,1,1,1998/10/01 06:00:00,139.9298447577,35.684551261,1,1,4115014,12,97,26,,97

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    PEOPLE FLOW ANALYSIS IN URBAN AREA", the 36th Japan Society of Civil Engineering information use technology symposium, pp.111-114, 2011 about Yoshihide Sekimoto, your Satoshi Usui Hiroshi kanasugi, Yusuke Masuda,

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  30. SESSION2 WORKSHOP

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  65. ɹ#BTJDTFMFDUJPO •Choose data drawing a rectangle on map %SVH

  66. ɹ#BTJDTFMFDUJPO •Only selected area are colored.

  67. ɹ.VMUJQMFTFMFDUJPO •and / or can be used after selecting one

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  68. ɹ.VMUJQMFTFMFDUJPO •can choose multi area or only overlapped area 03

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  69. ɹ*OWFSU4FMFDUJPO $MJDL •Selected area can be inverted.

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  75. ɹ-JOFHBUFBQQMJDBUJPO Path visualisation also changes under the condition.

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  84. ɹ#VGGFSCBTFETQBUJBMRVFSZ $MJDL create a buffer polygon from an annotation point

    1VUBNBSLFSPONBQ

  85. ɹ#VGGFSCBTFETQBUJBMRVFSZ create a buffer polygon from an annotation point *OQVUSBEJVTF

  86. ɹ#VGGFSCBTFETQBUJBMRVFSZ Similarly, the moving objects can be caught with a

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  87. ɹ1SBDUJDFᶇ "OBMZTFUIFWJTJUPSPGBOZDPNNFSDF BDDVNVMBUJPOQMBDF

  88. &YQPSU

  89. ɹ&YQPSU 5IFTFEBUBDBOFYQPSUUIJTEBUBGSPNIFSF Without selection, all data be exported

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  104. ɹ"OJNBUJPOFYQPSUGVODUJPOᶇɹ1SFTFSWFBOJNBUJPO 4BWFJUXJUI4BWFCVUUPO

  105. ɹ$IFDLUIFBOJNBUJPO w UIFTBNQMFNPWJFDBOCFTFFOPO:PV5VCF w 63-ɹIUUQZPVUVCFJ"R+3DZ.

  106. 0UIFSWJTVBMJTBUJPO

  107. ɹ7JTVBMJTJOH.FTIEBUB $IPPTFb.FTI$47`BOEPQFOUIF$47pMF
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  108. ɹ7JTVBMJTJOH.FTIEBUB $MJDLb$FMMBQQFBSBODF` w.PCNBQEBUBDIBOHF.FTIEBUB

  109. ɹ7JTVBMJTJOH.FTIEBUB $MJDLb$IPPTFQSFTFU` $IPPTFb)FBU USBOTQBSFOU ` •Mesh data can separate by

    color

  110. ɹ7JTVBMJTJOH.FTIEBUB •Much population is red, and Little is blue

  111. ɹ7JTVBMJTJOHOJHIUUJNFQPQVMBUJPO $MJDL $IPPTF $47'JMF $MJDLb4UBUJTDBMPQFSBUJPO`

  112. ɹ7JTVBMJTJOHOJHIUUJNFQPQVMBUJPO $IFDLCPYFT $IPPTFb"7(` •AVG function calculates average of attribute values

  113. ɹ7JTVBMJTJOHOJHIUUJNFQPQVMBUJPO The ratio of each local night-time population are shown.

    The data in this hands-on doesn’ have the magnification factor and completeness of parameter so the ratio is 0% largely.

  114. ɹ7JTVBMJTJOHOJHIUUJNFQPQVMBUJPO •With Person Trip data, Mesh data becomes like this

  115. ɹ7JTVBMJTJOHOJHIUUJNFQPQVMBUJPO • COUNT function just counts points inside the cell

    $IPTFb$06/5`

  116. ɹ7JTVBMJTJOHOJHIUUJNFQPQVMBUJPO • SUM function sums attribute values up $IPTFb46.`

  117. ɹ%7JFX $MJDL Watch 3D map of this data 5PVTFUIJTGVODUJPO ZPVIBWFUP

    TFMFDUEBUBJOBEWBODF

  118. ɹ%7JFX A new window will be shown

  119. ɹ%7JFX You can check time series variation and an abnormal

    movement easily.

  120. SESSION3 PRACTICE

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  126. 3FGFSFODF

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    36533748 0 49395673 0 51394139 0 53393642 0 53393653 0 ˎprocess a format as follows to display it in mobmap. The first line describe it in the first row with "@static-mesh" The second line describe "@ use- mesh-code" in the first row describe a scale of the mesh in the second row ex) In the case of the third mesh -> 3 After the third line Value (population)ʣ Mesh code

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  129. ɹ3FBEJOHJOUZQIPPOEBUB w &OUFSUIF63-PGUIFUZQIPPOQBHFPGUIFEJHJUBMUZQIPPO http://agora.ex.nii.ac.jp/digital-typhoon/summary/wnp/s/201115.html.ja

  130. ɹ3FBEJOHJOUZQIPPOEBUB w %JTQMBZUIFNPWFNFOUUSBDFPGUIFUZQIPPOXJUIBO BOJNBUJPO