Knowledge (XXG)

Ramani Huria

Source 📝

25: 175:, to use for data collection. The team check the GPS accuracy of the smartphones and provide internet scratchcards to guarantee good connectivity. Supported by the Ramani Huria team, community members collect data on their phones from individual households whilst accompanied by the Community Leader ("Mjumbe" in Swahili) for that area. Survey questions measure the history, impact and cause of flooding in that area. All data collected by the Ramani is free and accessible for anyone to use on 632: 131:
providing information for flood resistance. The current population of Dar es Salaam is estimated at over 6 million with a current annual population growth of 5.7%, resulting in 70% of the city being of informal settlements. Ramani Huria is putting these informal settlements on the map, along with drainage systems, roads, building features, and district boundaries.
130:
The city of Dar es Salaam is on the coast of Tanzania and in the rainy season is vulnerable to large scale flooding. Additionally, there are no current or reliable maps which can be used by aid respondents in the event of flooding. Maps are created specifically in flood prone wards with the aim of
166:
Ramani Huria trains university students and local community members in mapping tools to create highly accurate maps which is open and accessible to everyone. To achieve this, the Ramani Huria team works closely with community members throughout the data collection process. Community members are
134:
Ramani Huria 1.0 began in 2015, with the second phase, Ramani Huria 2.0 beginning in July 2017. In the first six months of Ramani Huria 2.0, over 51,000 buildings were mapped, and over 2000 community surveys were conducted.
217:
A work-in-progress atlas of the 450 Sub-Wards in the city has been developed which is intended for community resilience planning. The following wards of Dar es Salaam have been mapped and data is available both through
193:
Two teams coordinate to collect and verify the data. The first team uses ODK forms to send collected forms to the server, and the second team undertakes data cleaning and uploads the clean data to
205:
Ramani Huria has completed field mapping, quality checks, and data cleaning for the drainage systems in twelve wards of Dar es Salaam. Quality checks are conducted using the
415: 54: 319: 463: 393: 558: 118:, training university students and local community members to create highly accurate maps of the most flood-prone areas of the city using 487: 331: 94: 586: 362: 323: 856: 435: 70: 775: 551: 209:, a toolbox to convert OpenStreetMap data into data layers that can be used for hydrological and hydraulic modelling. 46: 305: 50: 825: 611: 318:
The project works with a number of partners to conduct mapping and utilise the maps created. Partners include:
194: 176: 147: 861: 846: 544: 449: 401: 35: 39: 810: 416:"Tanzania: The smartphone apps putting Africa's fastest-growing city on the map | Mark Anderson" 354: 678: 190:
to collect information on the highways. This includes records of formal and informal street names.
63: 851: 694: 59: 820: 704: 74: 495: 436:"Humanitarian OpenStreetMap Team | Recent flooding in Dar Es Salaam shows need for maps" 621: 327: 420: 358: 815: 714: 343: 283: 187: 840: 653: 567: 219: 139: 119: 111: 790: 780: 673: 606: 266: 631: 740: 293: 735: 719: 709: 246: 755: 745: 668: 663: 581: 256: 251: 231: 226: 596: 288: 271: 241: 206: 115: 760: 276: 261: 785: 770: 750: 699: 601: 591: 300: 236: 765: 658: 536: 540: 348:
The Global Facility for Disaster Reduction and Recovery (GFDRR)
509: 167:
trained on free, open source smartphone applications, such as
18: 394:"State of the Map: Hack day - American Geographical Society" 172: 155: 526: 381: 351: 347: 168: 151: 57:
and tools are available to assist in formatting, such as
335: 531: 339: 143: 138:
The project uses a number of mapping tools including
803: 728: 687: 646: 639: 574: 320:Tanzania Commission for Science and Technology 552: 8: 38:, which are uninformative and vulnerable to 53:and maintains a consistent citation style. 643: 559: 545: 537: 95:Learn how and when to remove this message 488:"Open Drone Imagery — Development Seed" 374: 110:is community-based mapping project in 532:Humanitarian OpenStreetMap Team (HOT) 7: 464:"Tanzania Country Assessment Report" 45:Please consider converting them to 182:Infrastructure and highway mapping 14: 332:Sokoine University of Agriculture 630: 23: 587:Humanitarian OpenStreetMap Team 450:"Dar es Salaam Population 2018" 363:Humanitarian OpenStreetMap Team 324:The University of Dar es Salaam 222:and the Ramani Huria website. 49:to ensure the article remains 1: 776:Open Source Routing Machine 878: 628: 336:The City of Dar es Salaam 16:Tanzanian mapping project 612:OpenStreetMap Foundation 382:http://ramanihuria.org/ 207:Deltares Hydro-OSM tool 162:Community flood mapping 857:Collaborative mapping 424:. 22 September 2015. 492:developmentseed.org 357:2018-03-19 at the 186:Ramani Huria uses 834: 833: 821:OpenHistoricalMap 799: 798: 512:. 19 August 2019. 105: 104: 97: 55:Several templates 869: 644: 634: 622:Wikimedia Italia 561: 554: 547: 538: 527:Dar Ramani Huria 514: 513: 506: 500: 499: 494:. Archived from 484: 478: 477: 475: 474: 460: 454: 453: 446: 440: 439: 432: 426: 425: 412: 406: 405: 400:. Archived from 390: 384: 379: 328:Ardhi University 201:Drainage mapping 100: 93: 89: 86: 80: 78: 67: 27: 26: 19: 877: 876: 872: 871: 870: 868: 867: 866: 837: 836: 835: 830: 795: 724: 683: 635: 626: 570: 565: 523: 518: 517: 508: 507: 503: 486: 485: 481: 472: 470: 462: 461: 457: 448: 447: 443: 434: 433: 429: 421:TheGuardian.com 414: 413: 409: 398:americangeo.org 392: 391: 387: 380: 376: 371: 359:Wayback Machine 316: 215: 203: 184: 164: 128: 101: 90: 84: 81: 69: 58: 44: 28: 24: 17: 12: 11: 5: 875: 873: 865: 864: 859: 854: 849: 839: 838: 832: 831: 829: 828: 823: 818: 816:OpenGeofiction 813: 807: 805: 801: 800: 797: 796: 794: 793: 788: 783: 778: 773: 768: 763: 758: 753: 748: 743: 738: 732: 730: 726: 725: 723: 722: 717: 715:OpenRailwayMap 712: 707: 702: 697: 691: 689: 685: 684: 682: 681: 676: 671: 666: 661: 656: 650: 648: 641: 637: 636: 629: 627: 625: 624: 619: 614: 609: 604: 599: 594: 589: 584: 578: 576: 572: 571: 566: 564: 563: 556: 549: 541: 535: 534: 529: 522: 521:External links 519: 516: 515: 501: 498:on 2015-10-06. 479: 455: 441: 438:. 12 May 2015. 427: 407: 404:on 2015-10-04. 385: 373: 372: 370: 367: 344:The World Bank 315: 312: 311: 310: 309: 308: 298: 297: 296: 291: 281: 280: 279: 274: 269: 264: 259: 254: 249: 244: 239: 234: 214: 211: 202: 199: 183: 180: 163: 160: 127: 124: 103: 102: 47:full citations 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 874: 863: 862:Crowdsourcing 860: 858: 855: 853: 850: 848: 847:OpenStreetMap 845: 844: 842: 827: 826:Overture Maps 824: 822: 819: 817: 814: 812: 809: 808: 806: 802: 792: 789: 787: 784: 782: 779: 777: 774: 772: 769: 767: 764: 762: 759: 757: 754: 752: 749: 747: 744: 742: 739: 737: 734: 733: 731: 727: 721: 718: 716: 713: 711: 708: 706: 703: 701: 698: 696: 693: 692: 690: 688:Visualisation 686: 680: 677: 675: 672: 670: 667: 665: 662: 660: 657: 655: 652: 651: 649: 645: 642: 638: 633: 623: 620: 618: 615: 613: 610: 608: 605: 603: 600: 598: 595: 593: 590: 588: 585: 583: 580: 579: 577: 575:Organisations 573: 569: 568:OpenStreetMap 562: 557: 555: 550: 548: 543: 542: 539: 533: 530: 528: 525: 524: 520: 511: 505: 502: 497: 493: 489: 483: 480: 469: 465: 459: 456: 451: 445: 442: 437: 431: 428: 423: 422: 417: 411: 408: 403: 399: 395: 389: 386: 383: 378: 375: 368: 366: 364: 360: 356: 353: 349: 345: 341: 337: 333: 329: 325: 321: 313: 307: 304: 303: 302: 299: 295: 292: 290: 287: 286: 285: 282: 278: 275: 273: 270: 268: 265: 263: 260: 258: 255: 253: 250: 248: 245: 243: 240: 238: 235: 233: 230: 229: 228: 225: 224: 223: 221: 220:OpenStreetMap 212: 210: 208: 200: 198: 196: 195:OpenStreetMap 191: 189: 181: 179: 178: 177:OpenStreetMap 174: 173:Open Data Kit 170: 161: 159: 157: 153: 149: 148:drone imagery 145: 141: 140:OpenStreetMap 136: 132: 125: 123: 121: 120:OpenStreetMap 117: 113: 112:Dar Es Salaam 109: 99: 96: 88: 76: 75:documentation 72: 65: 64:documentation 61: 56: 52: 48: 43: 41: 37: 32:This article 30: 21: 20: 791:Wheelmap.org 781:Organic Maps 674:OpenDroneMap 617:Ramani Huria 616: 607:Missing Maps 504: 496:the original 491: 482: 471:. Retrieved 467: 458: 444: 430: 419: 410: 402:the original 397: 388: 377: 317: 267:Mwananyamala 216: 213:Areas mapped 204: 192: 185: 165: 137: 133: 129: 108:Ramani Huria 107: 106: 91: 82: 71:Citation bot 33: 804:Derivations 741:GraphHopper 468:web.mit.edu 294:Mchikichini 156:OpenDataKit 85:August 2022 841:Categories 736:GNOME Maps 729:Navigation 720:OpenSeaMap 710:OpenLayers 582:Geochicas‎ 473:2018-03-19 369:References 247:Makumbusho 169:OpenMapKit 152:OpenMapKit 51:verifiable 852:Open data 756:Locus Map 746:Karta GPS 669:Mapillary 664:KartaView 352:Data Zetu 257:Mburahati 252:Makurumla 232:Hananasif 227:Kinondoni 36:bare URLs 679:Potlatch 640:Software 597:MapTiler 355:Archived 314:Partners 289:Buguruni 272:Ndugumbi 242:Magomeni 116:Tanzania 40:link rot 761:Maps.me 695:Leaflet 647:Editing 277:Tandale 262:Msasani 144:InaSAFE 786:OsmAnd 771:Neshan 751:Komoot 705:Marble 700:Mapnik 602:Mapzen 592:Mapbox 510:"Data" 361:; and 301:Temeke 237:Mabibo 60:reFill 766:Navit 284:Ilala 126:About 34:uses 811:FOSM 659:JOSM 340:Buni 306:Keko 171:and 154:and 68:and 188:ODK 843:: 654:iD 490:. 466:. 418:. 396:. 365:. 350:, 346:; 342:; 338:; 334:; 330:; 326:; 322:; 197:. 158:. 150:, 146:, 142:, 122:. 114:, 560:e 553:t 546:v 476:. 452:. 98:) 92:( 87:) 83:( 79:. 77:) 73:( 66:) 62:( 42:.

Index

bare URLs
link rot
full citations
verifiable
Several templates
reFill
documentation
Citation bot
documentation
Learn how and when to remove this message
Dar Es Salaam
Tanzania
OpenStreetMap
OpenStreetMap
InaSAFE
drone imagery
OpenMapKit
OpenDataKit
OpenMapKit
Open Data Kit
OpenStreetMap
ODK
OpenStreetMap
Deltares Hydro-OSM tool
OpenStreetMap
Kinondoni
Hananasif
Mabibo
Magomeni
Makumbusho

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.