Development Of Planning Support System For Urban Rehabilitation And Reconstruction In Case Sidoarjo Mud Flow Post Disaster

Sidoarjo mud disaster impact that has lasted more than 3 years are very influential on other aspects of life in Porong and surrounding areas. The need for information systems that can inform the public about the catastrophic conditions is absolutely necessary. In previous research has established a disaster management information system that is treated with the approach to Geographic Information Systems (GIS) consisting of the phases of mitigation, evacuation and warning his own. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. The next stage is the stage of recovery. To that end, the research platform designed with integrated GIS Decision Systems (DSS) for regional development planning. Platform that includes a planned relocation of the transportation system and the relocation industry. Relocation of industrial zones by the method of analytical hierarchy process to produce recommendations relocate industrial park. Modeling facility relocation alternative transport route network transformation results

An open and extensible framework for spatially explicit land use change modelling in R: the lulccR package (0.1.0)

Land use change has important consequences for biodiversity and the sustainability of ecosystem services, as well as for global environmental change. Spatially explicit land use change models improve our understanding of the processes driving change and make predictions about the quantity and location of future and past change. Here we present the lulccR package, an object-oriented framework for land use change modelling written in the R programming language. The contribution of the work is to resolve the following limitations associated with the current land use change modelling paradigm: (1) the source code for model implementations is frequently unavailable, severely compromising the reproducibility of scientific results and making it impossible for members of the community to improve or adapt models for their own purposes; (2) ensemble experiments to capture model structural uncertainty are difficult because of fundamental differences between implementations of different models; (3) different aspects of the modelling procedure must be performed in different environments because existing applications usually only perform the spatial allocation of change. The package includes a stochastic ordered allocation procedure as well as an implementation of the widely used CLUE-S algorithm. We demonstrate its functionality by simulating land use change at the Plum Island Ecosystems site, using a dataset included with the package. It is envisaged that lulccR will enable future model development and comparison within an open environment

Optimizing fire station locations for the Istanbul metropolitan municipality

Copyright @ 2013 INFORMSThe Istanbul Metropolitan Municipality (IMM) seeks to determine locations for additional fire stations to build in Istanbul; its objective is to make residences and historic sites reachable by emergency vehicles within five minutes of a fire station’s receipt of a service request. In this paper, we discuss our development of a mathematical model to aid IMM in determining these locations by using data retrieved from its fire incident records. We use a geographic information system to implement the model on Istanbul’s road network, and solve two location models—set-covering and maximal-covering—as what-if scenarios. We discuss 10 scenarios, including the situation that existed when we initiated the project and the scenario that IMM implemented. The scenario implemented increases the city’s fire station coverage from 58.6 percent to 85.9 percent, based on a five-minute response time, with an implementation plan that spans three years

Optimizing fire station locations for the Istanbul metropolitan municipality

Copyright @ 2013 INFORMSThe Istanbul Metropolitan Municipality (IMM) seeks to determine locations for additional fire stations to build in Istanbul; its objective is to make residences and historic sites reachable by emergency vehicles within five minutes of a fire station’s receipt of a service request. In this paper, we discuss our development of a mathematical model to aid IMM in determining these locations by using data retrieved from its fire incident records. We use a geographic information system to implement the model on Istanbul’s road network, and solve two location models—set-covering and maximal-covering—as what-if scenarios. We discuss 10 scenarios, including the situation that existed when we initiated the project and the scenario that IMM implemented. The scenario implemented increases the city’s fire station coverage from 58.6 percent to 85.9 percent, based on a five-minute response time, with an implementation plan that spans three years

Open source GIS based strategies for firms: a spatial analysis application to the inland terminal of Livorno

The paper explores the use of open source geographic information system (GIS) applied to firms. Most data available in a company have a spatial dimension and even decisions in marketing and management often have a spatial dimension. The paper is focus on illustrating the variegated opportunities for an open source GIS based strategy for firms. We argue that open source GIS are today as good as its proprietary competitors, and under certain circumstances, they are a superior alternative to their proprietary counterparts. A GIS based strategy for firms, as any other new application of geographical knowledge, it is a prospect of a new area for geography studies. This paper can be considered an initial essay on the role that geographers can play in spatial analysis applied to business strategy. The application is an example of applied geography supporting firm strategies and it has the purpose to identify spatial customer potentials for a specific infrastructure, the inland terminal of Guasticce (Italy).spatial analysis, open source, Geographic Information System (GIS), geography, inland port

Statistical and spatial analysis of landslide susceptibility maps with different classification systems

The final publication is available at Springer via http://dx.doi.org/10.1007/s12665-016-6124-1A landslide susceptibility map is an essential tool for land-use spatial planning and management in mountain areas. However, a classification system used for readability determines the final appearance of the map and may therefore influence the decision-making tasks adopted. The present paper addresses the spatial comparison and the accuracy assessment of some well-known classification methods applied to a susceptibility map that was based on a discriminant statistical model in an area in the Eastern Pyrenees. A number of statistical approaches (Spearman’s correlation, kappa index, factorial and cluster analyses and landslide density index) for map comparison were performed to quantify the information provided by the usual image analysis. The results showed the reliability and consistency of the kappa index against Spearman’s correlation as accuracy measures to assess the spatial agreement between maps. Inferential tests between unweighted and linear weighted kappa results showed that all the maps were more reliable in classifying areas of highest susceptibility and less reliable in classifying areas of low to moderate susceptibility. The spatial variability detected and quantified by factorial and cluster analyses showed that the maps classified by quantile and natural break methods were the closest whereas those classified by landslide percentage and equal interval methods displayed the greatest differences. The difference image analysis showed that the five classified maps only matched 9 % of the area. This area corresponded to the steeper slopes and the steeper watershed angle with forestless and sunny slopes at low altitudes. This means that the five maps coincide in identifying and classifying the most dangerous areas. The equal interval map overestimated the susceptibility of the study area, and the landslide percentage map was considered to be a very optimistic model. The spatial pattern of the quantile and natural break maps was very similar, but the latter was more consistent and predicted potential landslides more efficiently and reliably in the study area.Peer ReviewedPreprin

High performance computation of landscape genomic models integrating local indices of spatial association

Since its introduction, landscape genomics has developed quickly with the increasing availability of both molecular and topo-climatic data. The current challenges of the field mainly involve processing large numbers of models and disentangling selection from demography. Several methods address the latter, either by estimating a neutral model from population structure or by inferring simultaneously environmental and demographic effects. Here we present Sam$\beta$ada, an integrated approach to study signatures of local adaptation, providing rapid processing of whole genome data and enabling assessment of spatial association using molecular markers. Specifically, candidate loci to adaptation are identified by automatically assessing genome-environment associations. In complement, measuring the Local Indicators of Spatial Association (LISA) for these candidate loci allows to detect whether similar genotypes tend to gather in space, which constitutes a useful indication of the possible kinship relationship between individuals. In this paper, we also analyze SNP data from Ugandan cattle to detect signatures of local adaptation with Sam$\beta$ada, BayEnv, LFMM and an outlier method (FDIST approach in Arlequin) and compare their results. Sam$\beta$ada is an open source software for Windows, Linux and MacOS X available at \url{http://lasig.epfl.ch/sambada}Comment: 1 figure in text, 1 figure in supplementary material The structure of the article was modified and some explanations were updated. The methods and results presented are the same as in the previous versio

Process monitoring IAN Agroparks in India : Transforum report 2009

This is the first report of the TransForum project Process monitoring agroparks international, which focuses on India and specific on the development of the IFFCO Kisan SEZ Nellore in the south of India. It contains an overview of process design and the content of the proposition of IAN agroparks in India for 2009