The prediction and distribution of general yield classes of Sitka spruce in Scotland by empirical analysis of site factors using a geographic information system

1994 ◽  
Vol 24 (11) ◽  
pp. 2166-2171 ◽  
Author(s):  
S.M. Allison ◽  
M.F. Proe ◽  
K.B. Matthews
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Climatic Factors ◽  
Regional Scale ◽  
Sitka Spruce ◽  
Geographic Information ◽  
Climate Data ◽  
Site Factors ◽  
Site Factor ◽  
Yield Class

A framework has been developed to predict growth of Sitka spruce (Piceasitchensis (Bong.) Carr.) at a regional scale throughout Scotland based on an analysis of yield, site, and climatic factors. Using the general yield class (GYC) system for predicting forest production (m3•ha−1•year−1), the statistical model was integrated with a geographic information system to predict tree growth at a resolution of 1 km2. Site factor data from 487 sample sites were analysed along with the associated climate data derived from monthly 30-year means recorded at meteorological stations throughout the country. Multiple regression was used to develop and validate the model, which accounted for 59% of the variation in observed GYC. Standard errors of prediction were determined by analysis of variance to provide confidence limits for the 1-km2 GYC predictions. The distribution of these estimates of production was plotted in the form of a digital map for Scotland, housed within the geographic information system and providing a facility to readily analyse and summarise regional information.

Study on the Assessment of Land Ecological Suitability in Urban Connecting Band Based on the Method of “Entropy Weight-Geographic Information System”

2013 ◽  
Vol 798-799 ◽  
pp. 1178-1181
Author(s):  
Zhi Hong Liu ◽  
Ling Xu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Regional Scale ◽  
Geographic Information ◽  
Land Suitability ◽  
Entropy Weight ◽  
Irrigation Area ◽  
Suitability Assessment ◽  
Land Suitability Assessment ◽  
Ecological Suitability

Taking the connecting band of urban integration as study area, based on an appropriate index system, the method of Entropy Weight-Geographic Information System (GIS) was employed to carry out the land suitability assessment at a regional scale. Shenyang Irrigation Area (SIA) was taken as the practical example. It was found that the method was reasonable to assess the land suitability and the assessment results can be used to support land planning in a flexible way.

scholarly journals Regional scale screening over selected regions of bangladesh to identify potential sites for the disposal of low and intermediate level radioactive waste

2021 ◽  
pp. 10-10
Author(s):  
Khondokar Sakib ◽  
Abu Haydar ◽  
Idris Ali ◽  
Debasish Paul ◽  
Shah Alam
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Radioactive Waste ◽  
Regional Scale ◽  
Geographic Information ◽  
Analysis Method ◽  
Continental Scale ◽  
Suitability Map ◽  
Suitability Maps ◽  
Multi Criteria Analysis

Disposal of radioactive wastes has been emerged as a vital issue for Bangladesh as the country is actively working to be the nuclear power plant operating country by 2023-2024. Current study aims to find out potential sites for a near-surface disposal facility using geographic information system software and multi-criteria analysis method. Previously six regions (Region-1 to Region-6) were identified upon performing continental scale screening over the whole territory of Bangladesh. In the current study, regional scale screening has been performed over the Region-1 and Region-2 using five criteria divided into fifteen sub-criteria, namely earthquakes, wind speed, rainfall, cultivated-vegetated land, forests, buildings-facilities-build up areas (area), buildings-facilities-Industries-institutions (Point), population density, medium-broad road and railway, narrow road, power line, ground water table, surface water body and lastly flood were used in the analysis. The suitability map and relative importance weighting of these sub-criteria were determined by using geographic information system and multi-criteria analysis method. The overlay analysis was performed over suitability maps of each sub-criterion and found final suitability map of the Region-1 and Region-2. These suitability maps were divided into six category, namely excluded area, most suitable, suitable, moderately suitable, unsuitable and completely unsuitable. Nineteen potential sites with maximum and minimum area of 7.90 km2 and 1.15 km2 were identified from these most suitable and suitable areas. Detailed field investigation and site characterization are needed to be performed on selected potential sites to choose a final disposal site for the low and intermediate levels of radioactive waste.

scholarly journals A Hybrid GIS-DEMATEL Method to Analyze Land Suitability for Organic Farming: A Case Study from Vietnam

2020 ◽  
Vol 55 (6) ◽  
Author(s):  
Phi-Hung Nguyen ◽  
Bich- Thao Nguyen ◽  
Viet-Trang Nguyen ◽  
Hong- Phuc Nguyen
Keyword(s):  
Decision Making ◽  
Information System ◽  
Geographic Information System ◽  
Organic Farming ◽  
Climatic Factors ◽  
Geographic Information ◽  
Laboratory Method ◽  
Land Suitability ◽  
Future Research ◽  
Suitability Assessment

Land suitability assessment is an essential step for the planning and development of land use. This study aims to determine suitable lands for organic farming using an integration of the Geographic Information System and the Decision-Making Trial and Evaluation Laboratory method. Geographic Information System is a flexible and practical framework to assess and map the different criteria, including climatic factors, internal soil characteristics, and topographic features. The Decision-Making Trial and Evaluation Laboratory method is employed to identify the weights of the proposed factors. We investigated the data of 126 soil profiles covering 23220 hectares of land, located in Tamdao district, Vinh Phuc province, in the north of Vietnam. The results revealed that the proportion of land currently highly suitable for organic farming is 25.93% (6020.22 hectares), while the amount of land that is marginally suitable is 6.38% (1481.82 hectares). The amount of land that is moderately suitable for organic farming is 67.69% (15718.08 hectares). Therefore, the proposed method can improve planning and decision-making regarding land that is suitable for cultivation. Future research may deal with a more significant number of selected criteria with different methods, such as Entropy, Analytic Hierarchy Process, and CRiteria Importance Through Intercriteria Correlation to increase this model's power. This study can offer decision-makers insight to understand cause-effect relationships and select suitable sites for other research fields.

scholarly journals Etude De La Vulnerabilite Aux Risques D’inondations Dans La Ville De Meknes. Apport Des Sig, Du Mnt Et Des Modeles Empiriques

2017 ◽  
Vol 13 (36) ◽  
pp. 102 ◽  
Author(s):  
Abdelaziz Rhazi ◽  
Ali Essahlaoui ◽  
Abdellah El Hmaidi ◽  
Abdelhadi El Ouali
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Climate Data ◽  
The South ◽  
The North ◽  
A Priority ◽  
The City

The present study aims to assess, identify and map the risk of flooding urban in the aim of protecting the city of Meknes (center of northern Morocco) from the flooding of the Oued Boufekrane which runs along the city from the south to the north. It is carried out using the tools modeling, of empirical formulae and functions integrated into the software dedicated to the systems of Geographic Information System (GIS) and by exploiting the climate data, hydrological, topographical, geological, etc. The slopes of the watershed of the Oued Boufekrane vary approximately between 1 and 19%. They allow determining the areas and neighborhoods vulnerable to the risk of flooding with slopes not exceeding the 6%. The vulnerability to the risk of flooding which requires a priority intervention affects mainly the neighborhoods located in the southwest of the agglomeration of Meknes and along the valley of the Oued Boufekrane.

PEMANFAATAN WEBGIS DALAM MENDUKUNG PROGRAM DESA BERSAUDARA DI KABUPATEN MAGELANG

2018 ◽  
Vol 2 ◽  
pp. 223
Author(s):  
Humam Zarodi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information

<p>Erupsi Gunungapi Merapi tahun 2010 mengakibatkan banyak korban jiwa, kerusakan aset dan kerugian di berbagai bidang. Untuk meminimalkan korban jiwa, kerusakan dan kerugian, diperlukan upaya pengurangan risiko bencana (PRB). Salah satu upaya yang dilakukan adalah program desa bersaudara (<em>sister village</em>) yang digagas oleh Pemerintah Kabupaten Magelang melalui Badan Penanggulangan Bencana Daerah (BPBD). Program desa bersaudara ini bertujuan agar ada kepastian tempat pengungsian, mengurangi kesemrawutan proses pengungsian serta memudahkan pelayanan pengungsi. Program ini dapat memanfaatan Sistem Informasi Geografis/<em>Geographic Information System</em> (GIS) yang berbasis web (<em>WebGIS</em>). <em>WebGIS</em> mampu mendiseminasikan peta yang dihasilkan dalam program desa bersaudara, misalnya peta jalur evakuasi. Makalah ini bertujuan untuk mendiskripsikan pemanfataan <em>WebGIS</em> dalam mendukung program desa bersaudara, dengan mengambil kasus di Desa Ngargomulyo (desa rawan bencana) dan Desa Tamanagung (desa penyangga/ penerima pengungsi). Metodenya adalah memaparkan proses pemetaan jalur evakuasi. Proses penyusunan peta tersebut terbagi empat tahap:   survei lapangan, penyiapan data spasial, coding dan publikasi. Hasilnya adalah tampilan peta jalur evakuasi yang bisa diakses oleh siapapun tanpa menggunakan aplikasi GIS yang memudahkan masyarakat pengungsi, penerima pengungsi, pemerintah maupun parapihak, mengetahui asal pengungsi, jalur evakuasi dan titik pengungsian. Penelitian ini menyimpulkan bahwa pemetaan <em>WebGIS</em> dapat mendukung upaya PRB dengan keunggulan bisa dijangkau pengguna secara sangat luas.<strong></strong></p><p><strong>Kata kunci</strong>: desa bersaudara, <em>sister village</em>, pemetaan jalur evakuasi, <em>gis</em>, <em>webgis</em></p>

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