Building a Soil Information System for Multi-Source Data Integration

Name: Building a Soil Information System for Multi-Source Data Integration
Brand: LAP Lambert Academic Publishing
SKU: 9783846534922
Price: 19789 HUF
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A Soil Information System for Multi-Source Data Integration

Szerző: Tilaye Bitew Bezu

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

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This study was aimed at the design of a Soil Geographic Database (SGDB) as part of a Soil Informatio...

Információk a könyvről

Szerző

Tilaye Bitew Bezu

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

160

EAN

9783846534922

Enbook ID

06888540

Kiadó

LAP Lambert Academic Publishing

Súly

256

Méretek

150 x 220 x 10

Teljes leírás

This study was aimed at the design of a Soil Geographic Database (SGDB) as part of a Soil Information System (SIS), for the improved management of soil and land resource data relevant to an area around Lake Naivasha in Kenya. Emphasis has been given to the rescue of existing data available in different formats from a variety of sources and to the improvement of user access to adequate soil information for multiple purposes. The methods adopted for SGDB data modelling and for SIS development are the relational data model and the iterative structured information system development method, respectively. Two components of the SIS were designed: a relational database structure having twelve relations, and a prototype information system architecture consisting of four subsystems. The study proposes a working approach for multi-source data integration and standardisation in a common database structure. Correlation tables have been developed to handle the multi-category issues when dealing with different soil survey approaches and soil classification systems. A nested database design approach is applied to integrate data resulting from surveys at different levels of detail and map scale.

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Building a Soil Information System for Multi-Source Data Integration

A Soil Information System for Multi-Source Data Integration

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