Forest fire risk maps: a GIS open source application – a case study in Norwest of Portugal

Forest fires are widely recognized as one of the most critical events in global change. Successful fire management depends on effective fire prevention, detection, and presuppression, having an adequate fire suppression capability, and consideration of fire ecology relationships. Geographical information systems (GIS) provide tools to create, transform, and combine georeferenced variables. In Portugal, as in many other countries, it is mandatory that all the municipalities produce forest fire risk maps on an annual basis, following the rules of the Portuguese Forest Authority, a governmental association. This article presents the results of a research project aimed at producing forest fire risk maps in a GIS open source environment in Portugal. The requirements of an open source application are better quality, higher reliability, more flexibility, lower cost, and an end to predatory vendor lock-in. Three different open source desktop GIS software projects were evaluated: Quantum GIS (QGIS), generalitat valenciana, Sistema d'Informacio Geografica, and Kosmo. Taking into account the skills and experience of the authors, the main advantage of QGIS relies on the easiness and quickness in developing new plug-ins, using Python language. Therefore, this project was developed in QGIS platform and the interface was created in Python. This application incorporates seven procedures under a single toolbar. The production of the forest fire risk map comprises several steps and the production of several maps: probability, susceptibility, hazard, vulnerability, economic value, potential loss, and finally the forest fire risk map. The forest fire risk map comprises five classes: very low risk (dark green), low risk (green), medium risk (yellow), high risk (orange), and very high risk (red). This application was tested in three different municipal governments of the Norwest zone of Portugal. This application has the advantages of grouping in a unique toolbar all the procedures needed to produce forest fire risk maps and is free for the institution/user. Beyond being an open source application, this application may be faster and easier when compared with the GIS proprietary solutions that usually comprise several steps and the use of different software extensions. This work presents several contributions for the area of the GIS open source applications to forest fire risk management.     

Free and open source GIS in South America: political inroads and local advocacy

ABSTRACT

Geographical information systems (GIS) practitioners worldwide enjoy a growing array of free and open source software (FOSS) options. This software has expanded the accessibility of GIS in economically developing countries while fostering local technical expertise. This article reviews FOSS GIS uptake and advocacy in South America, especially how it relates to a climate of political friendliness toward FOSS in the region. The use or absence of FOSS GIS is assessed in public-facing web maps in South America, first at the national government level, and then at the provincial level using Argentina as a country of study. Local technical support groups and software development initiatives surrounding FOSS GIS in South America are then summarized. Finally, three case studies are presented of notable efforts to build FOSS GIS technical communities at the local level: the FOSSGIS Brasil online magazine, the Geoinquietos Argentina professional network, and the FOSS.4GIS.GOV conference in Brazil. A study of the leaders, dynamics, and practices of these groups can inform others in similar circumstances around the world who are trying to promote FOSS GIS adoption, development, skills, and services.     

Free satellite imagery and digital elevation model analyses enabling natural resource management in the developing world: Case studies from Eastern Indonesia

Decentralization of governance and natural resource management is an ongoing process in many parts of Africa and Asia. Natural resource management requires spatial land resource data for planning. However, currently the financial and human capacity for natural resource mapping, monitoring and modelling remains low in local governments. In this context, this paper explores how new opportunities provided by the increasing availability of free satellite imagery, digital elevation data and open source spatial analysis software, can be applied by local government and NGOs to conduct sophisticated natural resource mapping and modelling in ways that meet their needs and incorporates local knowledge. Reported are cases of a local government using free geospatial data and GIS software to improve evidence‐based natural resource management in the developing world with a focus on raster data applications for satellite image analysis and terrain modelling. It is argued that, through removing barriers to uptake, such applications provide a means of decentralizing landscape analysis skills to improve local natural resource management. This hypothesis is supported through examples of a local government applying these tools in eastern Indonesia, and within this context barriers to wider adoption are explored.     

GIS系统集成的理论与实践

本文探讨了ＧＩＳ系统集成的若干理论问题，集成系统的体系结构及系统集成的方法与步骤，并结合作者在“八五”攻关课题“洪水灾害遥感监测与评估技术研究”以及“重大自然灾害遥感监测评估集成系统研究”中的实践，介绍了集成的内容和若干工程性提出了运用对象连接与嵌入技术实现模型与ＧＩＳ动态集成的方法。     

Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations

Geographically Weighted Regression (GWR) is a widely used tool for exploring spatial heterogeneity of processes over geographic space. GWR computes location-specific parameter estimates, which makes its calibration process computationally intensive. The maximum number of data points that can be handled by current open-source GWR software is approximately 15,000 observations on a standard desktop. In the era of big data, this places a severe limitation on the use of GWR. To overcome this limitation, we propose a highly scalable, open-source FastGWR implementation based on Python and the Message Passing Interface (MPI) that scales to the order of millions of observations. FastGWR optimizes memory usage along with parallelization to boost performance significantly. To illustrate the performance of FastGWR, a hedonic house price model is calibrated on approximately 1.3 million single-family residential properties from a Zillow dataset for the city of Los Angeles, which is the first effort to apply GWR to a dataset of this size. The results show that FastGWR scales linearly as the number of cores within the High-Performance Computing (HPC) environment increases. It also outperforms currently available open-sourced GWR software packages with drastic speed reductions – up to thousands of times faster – on a standard desktop.     

基于.NET反射技术的插件式GIS软件设计原理与实现

当前主流的GIS软件开发方式--组件式开发已难以适应日益复杂多变的GIS应用需求,尤其表现在GIS应用软件的扩展和维护方面.该文在分析当前流行的插件技术的基础上,给出在.NET 平台上开发插件式GIS应用软件的一种有效解决方案,运用该技术设计了一款插件式GIS软件:DotMap Desktop,通过整合一些开源GIS组件能够完成常见的GIS任务且具有良好的扩展性.采用该方案设计的插件式GIS软件能够方便地运行在各种主流的操作系统上.     

The Implementation and Effectiveness of Geographic Information Systems Technology and Methods in Secondary Education

Abstract

Geographic information systems (GIS) technology and methods have transformed decision-making in society by bringing geographic analysis to the desktop computer. Although some educators consider GIS to be a promising means for implementing reform, it has been adopted by less than 2 percent of American high schools. The reasons behind the interest in GIS, its slow implementation, and its effectiveness in teaching and learning are unclear. To address these concerns, this research describes the extent to which GIS is being implemented in American secondary education and assesses the effectiveness of lessons that use GIS. A survey of 1,520 high schools that own GIS software, along with experiments and case studies in three high schools, provided primary data for assessing the implementation and effectiveness of GIS.     

A participatory framework for developing public participation GIS solutions to improve resource management systems

Participatory approaches elicit information from multiple stakeholders while planning and implementing resource management systems. Such elicited information is often associated with significant variability. Public participation geographical information science (GIS) (PP-GIS) solutions can reduce this variability by helping stakeholders to measure the factors involved and provide the elicited information. We propose a ‘Quality Function Deployment’-based participatory framework for developing such PP-GIS solutions. It is demonstrated using a case study to enhance an existing PP-GIS into a solution for rainwater harvesting systems in Indian villages. The novelty of the proposed framework is that it identifies metrics and carries out comparative analysis of three existing solutions: participatory rural appraisal, participatory mapping and PP-GIS. In the case study, PP-GIS scored less than participatory mapping as it scored less on usability and affordability. To improve PP-GIS in these aspects, an easy-to-use mobile and web based, free and open source PP-GIS solution, Watershed GIS, was developed. It scored better than the three existing solutions and its usage resulted in substantial reduction of variability in criteria values and thus better ranking of alternatives, with the average coefficient of variation decreasing from 0.12 to 0.05.     

Competing space and place identity with landscape change analysis using Web GIS through Singapore historical maps (1828–2015)

The investigation of historical maps is fundamental to understanding the dynamics of landscape changes. In this study, we propose Web GIS tools as a way to compare historical maps efficiently for knowledge production. A key impetus of this article is to contribute to the ongoing efforts to broaden the appeal of ‘mixed‐methods research’ by bridging the epistemological and methodological gaps between GIS and qualitative methodologies in knowledge production. This article proposes a new visualization method for historical landscape change analysis by comparing multiple maps simultaneously with the mash‐up of Web GIS. Based on the analysis of exterior facts represented on the maps, four developmental footprints were investigated, namely, surviving place identity, disappeared place identity replaced by new identity, waning place identity overlapped with new identity, and waning identity by disconnected spatial relationships. To this end, the study argues that Web GIS applications have more potential in spatial knowledge production than traditional desktop GIS.     

Establishing a framework for Open Geographic Information science

When conducting research within a framework of Geographic Information Science (GISc), the scientific validity of this work can be argued as highly dependent upon the extent to which the methods employed are reproducible, and that, in the strictest sense, can only be fully achieved by implementing transparent workflows that utilize both open source software and openly available data. After considering the scientific implications of non-reproducible methods, we provide a review of both open source Geographic Information Systems (GIS) and openly available data, before describing an integrated model for Open GISc. We conclude with a critical review of this embryonic paradigm, with directions for future development in supporting spatial data infrastructure.     

MODEL: a multicriteria ordinal evaluation tool for GIS

While the integration of geographical information systems (GIS) and multicriteria decision aiding (MCDA) has attracted increasing interest from researchers in recent years, due to the wide array of applications that can benefit from GIS as well as the different types of decision problems and various models that can be used through MCDA, plenty of opportunities of integrating GIS and MCDA remain. In this article, we present the result of such an opportunity in the form of a methodology and software that is currently used by the Naval Hydrographic and Oceanographic Service in France. Furthermore, this tool may be used in conjunction with other GIS–MCDA applications with a single decision maker, multiple decision makers or even where the decision has a hierarchical structure.     

Learning to do geography? University students posing questions in GIS laboratory exercises

In many higher education curricula, pre-structured step-by-step laboratory exercises in introductory courses in geographical information systems (GIS) are an important part of the training of future geographers. The reasons for this approach to teaching GIS are manifold, such as large numbers of students, off-the-shelf desktop software that is often complex, technical challenges, and scarce faculty resources. Often the reasons are well agreed upon by members of a university faculty and among the students. Research in other fields has shown that the use of a controlled manual for laboratory work often provides low learning potentials. However, not much empirical research has dealt with this issue within a GIS learning environment. Inspired by research on the value of student-generated questions within science education, the authors take a closer look at the type of student-generated questions and their relation to students' self-image of their learning approach in two pre-structured GIS laboratory settings at two Danish universities. They conclude that the vast majority of student-generated questions are of a basic information type and independent of the students' self-image of their learning approach. Further, it is found that wonderment questions, i.e. questions that are reflective in nature and show students the process towards acquiring extended geographical knowledge and software proficiency, are rarely asked.     

A transformational approach to GIS operations

GIS research has a continuing thread devoted to classifying the operations performed by analytical software. Prior efforts to classify GIS operations have limitations and inconsistencies, often arising from an attempt to establish overly direct links between geographic procedures and arithmetical operations. The transformational view of cartography provides a more solid basis for classifying GIS operations. This paper presents a new scheme for geographical transformations based on measurement frameworks as the principal distinction. Transformations between measurement frameworks can be summarized in terms of a spatial neighbourhood and a rule to process attribute information. This scheme organizes most analytical GIS operations by their geometric and attribute assumptions.     

MapMosaic: dynamic layer compositing for interactive geovisualization

GIS software applications and other mapping tools enable users to correlate data from multiple layers and gain insight from the resulting visualizations. However, most of these applications only feature basic, monolithic layer compositing techniques. These techniques do not always support users effectively in their tasks, as we observed during interviews with GIS experts. We introduce MapMosaic, a novel approach based on dynamic visual compositing that enables users to interactively create and manipulate local composites of multiple vector and raster map layers, taking into account the semantics and attribute values of objects and fields in the compositing process. We evaluate MapMosaic ’s interaction model against that of QGIS (a widely used desktop GIS) and MAPublisher (a professional cartography tool) using the ‘Cognitive Dimensions’ framework and through an analytical comparison, showing that MapMosaic ’s model is more flexible and can support users more effectively in their tasks. We also report on feedback obtained from experts, which further confirms the potential of this highly dynamic approach to map layer compositing.     

Usability evaluation and PPGIS: towards a user-centred design approach

Public Participation GIS (PPGIS) is a field of research that, among other things, focuses on the use of GIS by non-experts and occasional users. These users tend to have a diverse range of computer literacy, world views, cultural backgrounds and knowledge. These aspects require that the systems used within PPGIS are accessible and easy to use. Human-Computer Interaction (HCI) and the related usability evaluation techniques focus on how to make computer systems more accessible, while focusing on user needs and requirements. Thus, the synergy between PPGIS and HCI seems natural. In this paper, we discuss the aspects of this synergy, building on our experience from three workshops. We demonstrate how usability evaluation can contribute to PPGIS research, and how PPGIS research can contribute to the HCI aspects of GIS in general. We conclude this paper with a call for a user-centred design approach to PPGIS projects.     

Free advanced modeling and remote-sensing techniques for wetland watershed delineation and monitoring

Watershed scale studies focusing on hydrological pressures influencing freshwater ecosystem dynamics are necessary for the establishment of suitable wetland ecological indicators. Enhanced and reproducible methods for watershed modeling and land-cover assessment are thus essential tools for wetland monitoring and management. However, few integrated studies propose advanced open source methodologies for watershed modeling and assessment. In this study, a set of GIS methodological tools was applied and further developed in order to delineate wetland watersheds and map their land-cover changes over time. Watersheds draining to 11 semiarid Mediterranean saline wetlands were delimited and map algebra operations were applied on the digital elevation model in the Campo de Cartagena coastal plain to enhance watershed delimitation. land-use/land-cover maps of wetland watersheds were obtained for years 1987 and 2008 by means of supervised classification of Landsat images. A set of four spectral indices was included in the classification analysis using a combination of bands in order to improve the discrimination of vegetation, water bodies, infrastructure, and bare soil. An iterative classification procedure based on maximum likelihood and random selection of training areas was applied. Contextual information based on automatic image segmentation of Landsat scenes was also included as ancillary layers. Watershed areas obtained ranged from 70 to 17,000 ha and delineation was improved in the Campo de Cartagena coastal plain. The proposed image classification methodology showed high accuracies and improved standard classification techniques. The proposed methodology is based on free and open source tools, which makes it broadly applicable.     

基于Web Geocoding的三维GIS快速定位方法研究

三维GIS技术已经逐渐发展成熟,其对客观世界的表达能给人以更真实的感受,然而三维GIS软件所需数据是海量的。由于遥感技术的发展,纹理数据的获取和处理已经变得容易和快速,而对于矢量数据的采集、存储是一个非常艰巨的工作,如何在短期内获取海量、精确的矢量地理信息数据,减少数据采集的费用和时间成了一大难题。通过基于网络的地理编码来查询获取矢量点状地理信息,将地理信息存储到本地数据库,并且将数据应用到系统中进行快速定位显示,实现地理位置的实时定位和查询,为各种专题三维GIS软件开发提供服务和扩展功能。     

Enabling smart data selection based on data completeness measures: a quality-aware approach

Geographic information system (GIS) users rely heavily on the versatile operations of GIS software and the abundant variety of geospatial data from different resources to satisfy their application requirements. However, the convenient use of GIS software has resulted in users easily ignoring the threat of data misuse because of the lack of understanding of data quality. Here we argue that data quality considerations must be coherently assimilated into the GIS operation design to visually present helpful information and ensure the accuracy of data for decision making. Data completeness is selected in this paper to demonstrate how the use of data quality information opens a new dimension to the design of future GIS software. We propose a new model for the representation, analysis, and visualization of data completeness information. With the brand new quantitative measures and informative visual approach, understanding of the data completeness of the illustrated contents in the map interface is enhanced, and inappropriate dataset selection can be effectively prevented. Thus, this paper presents an innovative, integrated and geospatial concept of future GIS operation design, where users are constantly aware of the continuously changing status of data quality based on formalized and quantitative data quality theories.     

Spatial Measures of Segregation and Gis1

Traditional segregation measures have limitations in discerning different patterns of population distributions. Spatial measures of segregation have been introduced, but have not been widely adopted partly because of the difficulties in using them. A recent effort is to implement several spatial segregation measures as additional GIS tools in a popular desktop GIS package so that researchers and practitioners not savvy in GIS can use these tools to compute spatial segregation indices. This paper provides a concise review of these measures and elaborates the new tools developed.     

基于OGC WPS的遥感图像分布式检索系统研究

结合OGC WPS开放标准规范和分布式检索技术,提出基于OGC WPS构建遥感图像分布式检索系统的方法。采用Z39.50通用检索表达式的扩展模式,避免了遥感图像编目数据库与检索系统的紧密耦合;采用HTTP/XML定义检索网关和资源节点之间的WPS接口,实现了编目资源节点到网关的动态接入与移出机制。最后运用开放源代码GIS技术开发了一个原型演示系统,试验证明上述方法切实可行。