scholarly journals Multi-approach mapping to help spatial planning and management of the kelp species L. digitata and L. hyperborea: Case study of the Molène Archipelago, Brittany

2015 ◽  
Vol 100 ◽  
pp. 2-21 ◽  
Author(s):  
Touria Bajjouk ◽  
Sébastien Rochette ◽  
Martial Laurans ◽  
Axel Ehrhold ◽  
Anouar Hamdi ◽  
...  
Keyword(s):  
Spatial Planning ◽  
Kelp Species ◽  
Planning And Management

scholarly journals ANALISA STANDARISASI MUSEUM BATIK DENGAN PENDEKATAN KEARIFAN LOKAL BUDAYA ARSITEKTUR SURAKARTA

Jurnal Patra ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 127-137
Author(s):  
Maysitha Fitri Az Zahra ◽  
Ully Irma Maulina Hanafiah ◽  
Febri Toni Setiawan
Keyword(s):  
Cultural Heritage ◽  
Spatial Planning ◽  
Raw Materials ◽  
Intangible Cultural Heritage ◽  
Research Focus ◽  
Fabric Materials ◽  
The City

Batik, which is rich in symbols and philosophies for the Indonesian people, has now been recognized by UNESCO as a Representative List of the Intangible Cultural Heritage of Humanity. The beginning of the emergence of batik in Indonesia is in the city of Solo, and comes from the Pajang kingdom 400 years ago. With the passage of time, batik continues to grow and produces various variations and innovations, from raw materials to the drawn motifs. However, it is very unfortunate that not all of the previous heritage batik can be maintained. Recently, there has been a batik museum created by individuals or institutions, but in the design, some interior elements are less than optimal in their arrangement. So they don't affect the batik stored or on display. In this research, focus of the discussion is on standardization which discusses spatial planning, facilities, collections, lighting, ventilation, acoustics and museum security, which are combined with local wisdom of Surakarta architecture, so that the data becomes a batik museum with character and can preserve the stored batik. This research uses a case study of the Surakarta batik museum, and the final results of this study can be used as a guide for designing a museum with fabric materials in it.

scholarly journals Modelling streamflow response to hydro-climatic variables in the Upper Mkomazi River, South Africa

2014 ◽  
Author(s):  
◽  
Oluwaseun Kunle Oyebode
Keyword(s):  
South Africa ◽  
Water Resources ◽  
Genetic Programming ◽  
Predictive Models ◽  
Model Development ◽  
De Algorithm ◽  
Planning And Management ◽  
Ann Models ◽  
Artificial Neural

Streamflow modelling remains crucial to decision-making especially when it concerns planning and management of water resources systems in water-stressed regions. This study proposes a suitable method for streamflow modelling irrespective of the limited availability of historical datasets. Two data-driven modelling techniques were applied comparatively so as to achieve this aim. Genetic programming (GP), an evolutionary algorithm approach and a differential evolution (DE)-trained artificial neural network (ANN) were used for streamflow prediction in the upper Mkomazi River, South Africa. Historical records of streamflow and meteorological variables for a 19-year period (1994- 2012) were used for model development and also in the selection of predictor variables into the input vector space of the models. In both approaches, individual monthly predictive models were developed for each month of the year using a 1-year lead time. Two case studies were considered in development of the ANN models. Case study 1 involved the use of correlation analysis in selecting input variables as employed during GP model development, while the DE algorithm was used for training and optimizing the model parameters. However in case study 2, genetic programming was incorporated as a screening tool for determining the dimensionality of the ANN models, while the learning process was further fine-tuned by subjecting the DE algorithm to sensitivity analysis. Altogether, the performance of the three sets of predictive models were evaluated comparatively using three statistical measures namely, Mean Absolute Percent Error (MAPE), Root Mean-Squared Error (RMSE) and coefficient of determination (R2). Results showed better predictive performance by the GP models both during the training and validation phases when compared with the ANNs. Although the ANN models developed in case study 1 gave satisfactory results during the training phase, they were unable to extensively replicate those results during the validation phase. It was found that results from case study 1 were considerably influenced by the problems of overfitting and memorization, which are typical of ANNs when subjected to small amount of datasets. However, results from case study 2 showed great improvement across the three evaluation criteria, as the overfitting and memorization problems were significantly minimized, thus leading to improved accuracy in the predictions of the ANN models. It was concluded that the conjunctive use of the two evolutionary computation methods (GP and DE) can be used to improve the performance of artificial neural networks models, especially when availability of datasets is limited. In addition, the GP models can be deployed as predictive tools for the purpose of planning and management of water resources within the Mkomazi region and KwaZulu-Natal province as a whole.

Designing and Implementing a Learning Organization-Oriented InformationTechnology Planning and Management Process

2006 ◽  
pp. 59-72
Author(s):  
James I. Penrod ◽  
Ann F. Harbor
Keyword(s):  
Information Technology ◽  
Strategic Planning ◽  
Governance Structure ◽  
Transformative Change ◽  
University Of Memphis ◽  
It Implementation ◽  
Planning And Management ◽  
Increase Productivity ◽  
The University

Higher education is changing. Driven by the need to increase productivity, quality, and access while meeting the challenges of competition, universities, especially state-assisted institutions, are seeking ways to do more with less governmental support. Information technology (IT) is perhaps the enabling tool that will bring transformative change (Oblinger & Rush, 1997). The organizations that have had primary managerial responsibility for IT implementation on many campuses need to change and be restructured if the technology is to live up to its potential. This case study provides an overview of the process utilized in implementing a broad-based strategy to address the information technology needs of a large public university, the University of Memphis. It deals at length with the planning and creation of an IT governance structure and a strategic planning and management model. In this case, modern theories of organizational change and strategic planning were applied to the creation and improvement of the University’s IT structure.

Integrated Economic and Spatial Planning for the Food-Energy-Water Nexus

2020 ◽  
pp. 458-476
Author(s):  
Andrea Bassi ◽  
Louise Gallagher
Keyword(s):  
Spatial Planning ◽  
Environmental Indicators ◽  
Forest Landscape ◽  
Infrastructure Projects ◽  
Environmental Assessments ◽  
Socioeconomic Outcomes ◽  
The World ◽  
Social And Environmental Impacts ◽  
Financial Analyses

Infrastructure projects are being planned and implemented around the world. These projects lead to economic growth and social development, but often unexpected side effects emerge. The problem is that financial analyses for infrastructure projects do not incorporate quantified economic assessments of social and environmental impacts. Equally, social and environmental assessments for infrastructure projects rarely qualify or quantify socioeconomic outcomes for investments in mitigation practices. Our analysis builds on a review of existing methodologies and tools to propose a method for jointly applying three modeling approaches for integrated economic and spatial planning. The results of case study of the Mekong Flooded Forest landscape shows the capability of the models to anticipate desired and undesired outcomes across social, economic and environmental indicators. This shows promising potential for better informing decision making for sustainability.

Sign in / Sign up

Export Citation Format

Share Document