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Enregistrement W2797354021

Cadastral Surveys: addressing territorial disputes in Somaliland

2004· other· en· W2797354021 sur OpenAlexaboutno aff
John Drysdale

Notice bibliographique

RevueCGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · 2004
Typeother
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueLand Rights and Reforms
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCadastreGeographic coordinate systemGeographyCertificateChristian ministryMagic squareCartographyPolitical scienceComputer scienceLawMathematicsAlgorithm
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Abdi Hassan, a farmer in the Gabiley district of Somaliland, proudly holds out a laminated ID card to a visiting extension worker. The card is a land ownership certificate issued by the Ministry of Agriculture, and includes a headshot of Hassan, his name and a 10-digit code. ´This code represents the exact location of my farm´, Hassan explains. ´Every farmer in the area now has one. For generations, our farm land had not been formally surveyed, so there were no officially recognized boundaries. The authorities would not issue any land title deeds. The situation has been worse since the end of the civil war. When the farmers returned there were many disputes over land, which sometimes became violent. No more - our land boundaries are now indisputable´.\n\nThis transformation has been achieved through a major UNDP-supported initiative, implemented by a local NGO, Cadastral Surveys, in collaboration with a Canadian company, NAC Geographic Products Inc. (NACGEO). Together they have helped to bring peace to this troubled region by surveying, delineating and registering land boundaries on the basis of the Natural Area Coding System. \n\nNatural area codes (NACs) are basically a simpler, more compact form of geographical coordinates than those used by other mapping methods such as the global positioning system (GPS). NACGEO has developed a computer algorithm that shortens the long strings of longitude-latitude coordinates and replaces them with NACs, or digital addresses, that are as easy to remember as telephone numbers. A NAC consists of a string of up to ten alphanumeric characters - the longer the string, the smaller the area, and thus the greater the detail. Thus, a two-character NAC specifies an area of about 1000 square kilometres, six characters 1 square kilometre, and ten characters one square metre. In Somaliland, it was decided to use ten-character NACs, providing unique identifiers for every farm plot, building or even tree. \n\nThe NAC system\nNACGEO has so far assigned NACs for 17 countries, of which Somaliland is the only one in the developing world. There were no existing map databases that could be converted to the NAC system - Cadastral Surveys therefore had to start the mapping process from scratch.\n\nThe NAC mapping process is a rather complex undertaking. Cadastral Surveys sends a team into the field equipped with a theodolite to survey, record and map the exact locations of fixed objects such as houses or physical landmarks, and farm boundaries. Since neighbouring farmers must agree on the location of their shared boundaries before the surveying work can begin, they tend to resolve their disputes relatively quickly. Later, concrete blocks are embedded in the ground at various points to mark the agreed boundaries. \n\nThe surveyors´ measurements are recorded, and copies are sent to the Cadastral Surveys head office in Gabiley. There, the raw data are examined to correct any obvious errors and are entered into ArcView, a geographic information system (GIS) software package, to create a preliminary schematic map showing the location and area of each parcel of land. This basic map, or ´ground layer´, is then emailed to NACGEO in Toronto, where cartographers superimpose onto it a rectangular grid of NAC coordinates. Any point on the map can now be identified with a unique NAC.\n\nThe new two-layer map is emailed back to Cadastral Surveys, where it is fed into the GIS database. Further layers can then be added to indicate other relevant details such as the location of wells and rain gauges. The finished product is a wall map of the area showing all the surveyed property boundaries and their coordinates, which is displayed in government and UN agency offices for all to see. \n\nThe surveyors then return to the field and paint the NACs onto the concrete ´boundary blocks´ embedded in the ground. The NACs are stored in a ´master´ database maintained by Cadastral Surveys, and at the Ministry of Agriculture. The Ministry uses the database to update land sale and inheritance records and, crucially, to issue laminated land registration certificates and freehold title deeds to individual farmers. The Ministry may also decide to use the database to manage the tax records for each farm. \n\nCadastral Surveys has so far surveyed and assigned natural area codes to 3500 farms in Somaliland. Although Cadastral Surveys has been using GIS and the NAC system for less than a year, it has already seen a massive increase in its mapping productivity as the skills of local staff have improved. In the near future a new Institute of Land, Soil and Water Surveying will be established at the University of Hargeisa, where Somalis will be able to further develop their surveying and mapping skills. The current GIS maps will also be enhanced with additional topographical data and soil and water information, which will undoubtedly be of value in the future development of the region.\n\nThe NAC system has benefited the farmers of Somaliland in many ways, not least in resolving conflicts over land and helping rebuild communities. With the boundaries clearly indicated on a map, on ID cards and in concrete in the ground, their land is now a valuable legal asset that they can use as collateral for loans and may pass on to their children.\n\n\n\n\nmailto:john_drysdale@yahoo.com \n\n\n \n\n\nJohn Drysdale is director of Somaliland Cadastral Surveys. For further information, visit \n\n\nhttp://www.nacgeo.com/nacsite/ \n\n\n \n\n\nwww.nacgeo.com/nacsite.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,526
Score d'incertitude au seuil0,986

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,069
Tête enseignante GPT0,339
Écart entre enseignants0,271 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2004
Routes d'admission1
Résumé présentoui

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