Quantum GIS Software Research Articles

Análise espaço-temporal das Infecções Respiratórias Agudas em crianças na Região de Saúde de Carajás, Pará

Objetivo: Descrever a distribuição espaço-temporal de Infecções Respiratórias Agudas (IRA) em crianças menores de dois anos em uma região do Pará. Métodos: Trata-se de estudo transversal descritivo que utilizou como banco de dados secundário, o Sistema de Informação da Atenção Básica (SIAB). Foram coletados dados da região de saúde de Carajás, Pará, entre 2005 e 2015, acerca de crianças menores de dois anos. Os dados foram tabulados e analisados por estatísticas descritivas com o auxílio do software Tabwin, desenvolvido pelo Departamento de informática do Sistema Único de Saúde (DATASUS). Posteriormente os dados foram mapeados por meio do software Quantum GIS. Resultados: Foram registrados 149.459 casos de IRA em crianças menores de dois anos, com uma média de 13.587 casos por ano. Os meses de março e abril apresentaram as maiores médias mensais; 1368,72 casos/mês e 1278,63 casos/mês e os maiores registros absolutos de casos 15.056 e 14.065 respectivamente. Marabá (36.645) e Parauapebas (20.146) foram os municípios que mais registraram casos de IRA. Conclusão: Conclui-se que os municípios mais endêmicos necessitam de atenção especial quanto aos casos de IRA em crianças menores de 2 anos, sobretudo nos meses de inverno.

A comprehensive study on occurrence records of African neglected and underutilized weed species, Cleome gynandra L. (cat's whiskers) validating the ecogeographical range expansion in West Bengal, India

Cleome gynandra L., commonly known as cat's whiskers, is an erect, branched, annual herb, belonging to the family Cleomaceae. The species is thought to have originated in tropical Africa and Southeast Asia, and thereafter have spread to other tropical and subtropical countries in the Northern and Southern hemispheres. Cat's whiskers is a highly nutritious vegetable and also possesses numerous medicinal values, yet it is considered as a neglected and underutilized weed species (NUS) in most of the world. In India, C. gynandra is recorded in Assam, Gujarat, Kerala, Maharashtra, Rajasthan, Tamil Nadu, and Uttar Pradesh. There is no earlier report of this species in West Bengal, India. This report is the first record of natural occurrence of C. gynandra in West Bengal, India. The main objective of this report is to provide valid information about the invasion and naturalization of this species in a new geographical area supported with suitable data. Global distribution data of cat's whiskers was retrieved from available web resources and mapped using Quantum GIS software in order to validate the de novo nature of occurrence of this species in this region.

Pemetaan Daerah Status Gizi Bermasalah Di Kabupaten Batang Berbasis Analisis Spasial

Continuous and comprehensive efforts need to resolve malnutrition problem in Indonesia. Riskesdas 2018, toddler nutrition problems were 17.7%, Severely underweight (3.9%) malnutrition (13.8%). Although it has significantly decreased, specific locus require more specific interventions such as resolve malnutrition,BGM, BBLR. In Batang (BGM) increased 806 cases in 2018. Malnutrition increased to 129 cases BBLR infants were still dominant at 601 case in 2018. Purpose of research was to conduct mapping based on spatial analysis to determine areas that were prone to nutrition in Batang Regency. The method is secondary data processing from Dinas Kesehatan Kabupaten Batang in 2018 and then overlay with Quantum GIS software version 2.14.8. The result is an area with high malnutrition cases in Batang District at 36.08% including (Puskesmas Batang I, II, III and IV). Areas with high BGM toddlers cases in 2 districts namely Blado District by 12.16% (including Puskesmas Blado I, II) and Batang District by 16.50%. (including the areas of Batang I, II, III and IV). Areas that have a high BBLR predominance in Batang (Puskesmas Batang 1, Puskesmas Batang II and Puskesmas Batang IV) have BBLR cases of 20.13%. The highest problem-prone areas of nutrition are in Batang District which includes 4 working areas of Puskesmas, namely Batang 1, II and IV and some Puskesmas Batang III. Interventions carried out by: Optimizing Posyandu, Periodic Home Visit to families with nutritional problems. Synergy of the 4 pillars (health, agriculture, economy and education) hopes that they can complexly overcome nutritional problems as a whole

Application of flood vulnerability index in flood vulnerability assessment: a case study in Mai Hoa Commune, Tuyen Hoa District, Quang Binh Province

This study adopted a flood vulnerability index (FVI) to assess the flood vulnerability of ten villages in Mai Hoa Commune, a mountainous community living along Gianh River in Tuyen Hoa District, Quang Binh Province. The flood vulnerability indicators, which are grouped into Exposure, Susceptibility, and Resilience, were identified given the previous studies on FVI elsewhere and in consultation with local key informants. A questionnaire survey then was conducted with local households and key government staff to compute the FVI of the villages. The data were analyzed by Excel software and then flood vulnerability maps were created by the Quantum GIS software. The findings indicate that there are three villages at the high level, five at the moderate level, and two at the low level of flood vulnerability. The findings also reveal that the exposure indicators such as population in the flooded area and farmland in the flooded area, the susceptibility indicators such as vulnerable population, poverty rate and population with the main income from agriculture, and the resilience indicators such as external support for household disaster risk management, practices in flood risk management, financial capacity for recovery, social resources, and swimming skills, are the main determinants of village flood vulnerability. The findings further indicate that FVI can be used as an effective tool to compare determinants of flood vulnerability among the villages. It, accordingly, suggests priority actions specified to flood vulnerability reduction for the villages.

Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification

ABSTRACT Vegetation indices are intended to emphasize the vegetation spectral behavior in relation to the soil and other terrestrial surface targets. The objective of this study was to evaluate the vegetation cover types present in the municipality of Campo Belo do Sul, Brazil, using data from five vegetation indices obtained through satellite images. In order to do so, calculations of the Normalized Difference Vegetation Index (NDVI), Soil-adjusted Vegetation Index (SAVI), Leaf Area Index (LAI), Enhanced Vegetation Index (EVI) and Normalized Difference Water Index (NDWI) were performed using Quantum Gis software. The generated maps allowed the detection of the different vegetation cover classes, thus the results indicated that there is no specific vegetation index that best represents all the evaluated classes in the study, however, NDVI, EVI, and SAVI had good adjustments in the majority of the thematic classes.

Participatory GIS for collaborative decision making development of village resource potential

This study aims to develop participatory GIS applications for village resource mapping decisions. This study consists of two stages, the first stage is mapping village resources using Quantum GIS and Tableu server software, and the second stage is collaborative decision making modeling using the borda voting method. The results showed that there were 67 potential resource points that could be mapped in the Sumbersari village area. Decision making to determine the priority ranking of the village resource potential that will be developed, can involve community representatives and collaborate with the village government.

Characterization and Mapping of the Causes, Intensity and Effects of Natural Resource Use Conflicts in Kilosa and Mvomero, Tanzania

Tanzania has experienced many natural resource use conflicts in many parts of the country, including the Kilosa and Mvomero districts, ranging from family disputes through to all-out social unrest. Despite some efforts to curb rampant natural resource use conflicts, there is overwhelming evidence of the existence and upsurge of such conflicts, leading to various consequences, including death of people involved, destruction of property and the creation of a sense of insecurity. This study aims to characterize and map the causes, intensity and effects of natural resource use conflicts in the districts of Kilosa and Mvomero, Tanzania. Key Informant Interviews were used to gather valuable evidence to characterize the natural resource use conflicts in Kilosa and Mvomero, which also aided in constructing natural resource-use conflict typology. Quantum GIS software was used for spatial mapping of the conflicts. The study confirmed that land, water, crops, pasture and minerals are the main natural resources behind the conflicts, and therefore these resources have to be treated as crucial dimensions of conflict prevention in Kilosa and Mvomero. Generally, there is complexity in the conflict situations and overlapping of causes and conflict types on the one hand, and overlapping of conflict types and resources which are contested for on the other.

EFFECT OF DIFFERENT SEGMENTATION METHODS USING OPTICAL SATELLITE IMAGERY TO ESTIMATE FUZZY CLUSTERING PARAMETERS FOR SENTINEL-1A SAR IMAGES

Abstract. Optical and SAR data are efficient data sources for shoreline monitoring. The processing of SAR data such as feature extraction is not an easy task since the images have totally different structure than optical imagery. Determination of threshold value is a challenging task for SAR data. In this study, SENTINEL-2A optical data was used as ancillary data to predict fuzzy membership parameters for segmentation of SENTINEL-1A SAR data to extract shoreline. SENTINEL-2A and SENTINEL-1A satellite images used were taken in September 9, 2016 and September 13, 2016 respectively. Three different segmentation algorithms which are selected from object, learning and pixel-based methods. They have been exploited to obtain land and water classes which have been used as an input data for parameter estimation. Thus, the performance of different segmentation algorithm has been investigated and analysed. In the first step of the study, Mean-Shift, Random Forest and Whale Optimization algorithms have been employed to obtain water and land classes from the SENTINEL-2A image. Water and land classes derived from each algorithm – are used as input data, and then the required parameters for the fuzzy clustering of SENTINEL-1A SAR image, were calculated. Lake Constance, Germany has been chosen as the study area. In this study, additionally an interface plugin has been developed and integrated into the open source Quantum GIS software platform. The developed interface allows non-experts to process and extract the shorelines without using any parameters. But, this system requires pre-segmented data as input. Thus, the batch process calculates the required parameters.

Exploring the demarcation requirements of fish breeding and nursery sites to balance the exploitation, management and conservation needs of Lake Victoria ecosystem

AbstractFisheries resources in vital freshwater ecosystems have been reported to be under immense threat, resulting in conflicts between conservation, management and exploitation. This study established requirements for identifying and mapping fish breeding and nursery grounds in such ecosystems in the Kenyan part of Lake Victoria. The criteria were characterised by the use of indigenous knowledge, field data, literature on breeding sites, macroinvertebrates distribution, larval and relative fish abundances, digitisation, participatory mapping, and periodic sampling. Data were collected from trawl and seine net surveys. Digitisation and mapping of the proposed conservation sites were carried out using Quantum GIS software. Participatory physical demarcation of sites was done using buoys and markers. Larval and juvenile fishes were diverse and abundant in all seven river mouths and six bays surveyed with little variance; an important aspect of breeding areas. Additionally, a preponderance of macroinvertebrates and high fish diversity compared with offshore sites in the lake strengthened the hypothesis that these are critical habitats for spawning and preferred habitats for nurseries for fish. The approach can be adopted globally to guarantee the long‐term integrity of critical fish habitats for sustainable fisheries management and blue growth.

Monitoring spatial LULC changes and its growth prediction based on statistical models and earth observation datasets of Gautam Budh Nagar, Uttar Pradesh, India

It is well known and witnessed the fact that in recent years the growth of urbanization and increasing urban population in the cities, particularly in developing countries, are the primary concern for urban planners and other environmental professionals. The present study deals with multi-temporal satellite data along with statistical models to map and monitor the LULC change patterns and prediction of urban expansion in the upcoming years for one of the important cities of Ganga alluvial Plain. With the help of our study, we also tried to portray the impact of urban sprawl on the natural environment. The long-term LULC and urban spatial change modelling was carried out using Landsat satellite data from 2001 to 2016. The assessment of the outcome showed that increase in urban built-up areas favoured a substantial decline in the agricultural land and rural built-up areas, from 2001 to 2016. Shannon’s entropy index was also used to measure the spatial growth patterns over the period of time in the study area based on the land-use change statistics. Prediction of the future land-use growth of the study area for 2019, 2022 and 2031 was carried out using artificial neural network method through Quantum GIS software. Results of the simulation model revealed that 14.7% of urban built-up areas will increase by 2019, 15.7% by 2022 and 18.68% by 2031. The observation received from the present study based on the long-term classification of satellite data, statistical methods and field survey indicates that the predicted LULC map of the area will be precious information for policy and decision-makers for sustainable urban development and natural resource management in the area for food and water security.

Geoinformational Mapping of Landscapes in the Northwestern Part of Western Siberia Using the Hansen Mosaic Dataset

Presented are the technique and results of studying the landscape structure of the north-west of Western Siberia on the basis of the Hansen mosaic dataset consisting of elements covering the entire territory of the Earth. To study this area used a synthesis of classical methods of thematic system mapping as described in the doctrine of geosystems of V. B. Sochava, and automated interpretation of remote sensing data and mapping using GIS technologies. The method of geoinformational mapping of the landscape structure with the use of MultiSpec and Quantum GIS software programs for the purpose of drawing up real-time raster landscape maps is shown. In drawing up the map and the legend, the principle of geomic system-hierarchical representation of the territory as a complex multi-level “bottom-up” structure from topological-level geosystems (groups and classes of landscape facies) to regional-level geosystems (geoms, groups and classes of geoms) was used. Compilation of operational raster landscape maps of the north-west of Western Siberia involved multilevel automated interpretation of the Hansen mosaic dataset and mapping of areas (clusters) on images with different brightness characteristics, with the landscape structure of key areas and stationary physical and geographical profiles. A characteristic of this approach also implies using a dynamic classification of geosystems based on the study of their variable states. Such an approach permits a monitoring of changes in landscape structure and its areas and the intensity of anthropogenic impacts on forest and marsh landscapes, and determination of permissible pressure on geosystems in areas with high technogenic pressure of the oil and gas complex represented by the north-west of Siberia. An automated processing of data based on a supervised classification of territorial objects allows for the elimination of inaccuracies arising in visual image interpretation. Raster landscape maps can be used both for a further generation of vector maps and as a real-time information base for purposes of environmental management and protection.

Line Generalization Evaluation on Contour Map Generated From SRTM and ASTER GDEM

A contour map is one of many layers that composed Informasi Geospasial Dasar (IGD), which according to Act. No 4 2011 serves as a reference for any thematic map. The provision of contour map at a different level of scale is needed since mapping activities will always refer to map scale based on the mapping area. This research aims to analyze automated contour generation quality to produce 1:50.000 contour map, by means of using open access Digital Elevation Model (DEM) data, such as Shuttle Radar Topographic Mission (SRTM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM).
 The automated contour generation was done by using contour interpolation in Quantum GIS software. Furthermore, simplification and smoothing algorithm was applied to both data, in order to improve their visual appearance. In this case, there are four algorithms used in the study, namely Douglas-Peucker, Visvalingam, Chaikin, and McMaster. Quality assessment, both qualitative and quantitative assessment, was done to each derived contour map to ensure the applicability of the procedure.
 The result shows that contour map generated from SRTM has a better quality than contour map generated from ASTER GDEM. Nevertheless, both data has a similar pattern on each topographical classes, which tends to produce bad quality contour line in the flat area. The more mountainous the area, the better the contour line. Meanwhile, of all generalization algorithm applied in this study, Chaikin’s algorithm is the best algorithm in terms of smoothing the contour line and improving visual quality, but still doesn’t significantly improved the metric accuracy. The contour line can be either directly added to the Digital Cartographic Model of Topographic Map (Rupabumi Map), or used as compliance data in a thematic map.

Anthrax outbreaks in the humans - livestock and wildlife interface areas of Northern Tanzania: a\xa0retrospective record review 2006\u20132016

BackgroundAnthrax outbreaks in Tanzania have been reported from the human, livestock and wildlife sectors over several years, and is among the notifiable diseases. Despite frequent anthrax outbreaks, there is no comprehensive dataset indicating the magnitude and distribution of the disease in susceptible species. This study is a retrospective review of anthrax outbreaks from the human, livestock, and wildlife surveillance systems from 2006 to 2016. The objectives were to identify hotspot districts, describe anthrax epidemiology in the hotspot areas, evaluate the efficiency of the anthrax response systems and identify potential areas for further observational studies.MethodsWe prepared a spreadsheet template for a retrospective comprehensive record review at different surveillance levels in Tanzania. We captured data elements including demographic characteristics of different species, the name of health facility, and date of anthrax diagnosis. Also, we collected data on the date of specimen collection, species screened, type of laboratory test, laboratory results and the outcome recorded at the end of treatment in humans. After establishing the database, we produced maps in Quantum GIS software and transferred cleaned data to Stata software for supportive statistical analysis.ResultsAnthrax reported incidences over 4 years in humans were much higher in the Arusha region (7.88/100,000) followed by Kilimanjaro region (6.64/100,000) than other regions of Tanzania Mainland. The health facility based review from hotspot districts in parts of Arusha and Kilimanjaro regions from 2006 to 2016, identified 330 human anthrax cases from the selected health facilities in the two regions. Out of 161 livestock and 57 wildlife specimen tested, 103 and 18 respectively, were positive for anthrax.ConclusionThis study revealed that there is gross under-reporting in the existing surveillance systems which is an obstacle for estimating a true burden of anthrax in the hotspot districts. Repeated occurrences of anthrax in livestock, wildlife and humans in the same locations at the same time calls for the need to strengthen links and promote inter–disciplinary and multi-sectoral collaboration to enhance prevention and control measures under a One Health approach.

SPATIAL CONCENTRATION OF BUSINESSES WITH FOREIGN CAPITAL IN THE CAPITAL CITIES OF THE POLISH VOIVODESHIPS AND THEIR AGGLOMERATIONS FROM 1995–2016

Foreign investments play an important role in fostering local development. This article is aimed at evaluating the inflow of FDIs to the capital cities of the Polish voivodeships in 1995–2016 and their closest agglomerations. Data on the number of businesses with foreign capital used in this article originate from the Local Data Bank of the Polish Central Statistical Office. To capture a spatial concentration of businesses with foreign capital and its change from 1995–2016, a method used in analysing regional convergence, among others, was employed. The spatial distribution of FDIs in relation to the capital cities of the Polish voivodeships was analysed using Quantum GIS software and calculations in STATA 14. Conclusions arrived at showed a divergence in the number of FDIs in communes and municipalities in Poland from 1995–2016 as well as a diverse spatial pattern of FDI locations in relation to the capital city of the voivodeship.

Las lombrices de tierra de zonas boscosas y agroecosistemas del municipio de San Antonio Sacatepéquez, departamento de San Marcos, Guatemala

La riqueza de lombrices de tierra fue determinada en dos tipos de ecosistemas: bosques (naturales) y agroecosistemas con cultivos anuales de San Antonio Sacatepéquez. Se muestrearon 16 sitios; estos fueron determinados sobreponiendo los mapas -shapes- de zonas de vida (De la Cruz, 1982); serie de suelos (Simmons et al., 1959) y cobertura forestal municipal, utilizando el software Quantum Gis; con el fin de zonificar aquellas áreas que difieren por esas variables ecológicas y por tipo de ecosistema. Los muestreos fueron realizados en septiembre y octubre de 2014, de acuerdo con el Método del programa internacional de Biología y Fertilidad de Suelos Tropicales (TSBF), la unidad básica de muestreo fue un cubo -monolito- de 25 x 25 x 30 cm de profundidad. Se realizaron cinco cubos por sitio, sin estratificar por capas la tierra extraída. En total se determinaron seis especies de lombrices de tierra, cuatronativas: Ramiellona aff vulcánica, Ramiellona sp, Kaxdrilus parkus y Kaxdrilus sp, de la familia Acanthodrilidae; y dosexóticas: Aporrectodea trapezoides y Octalasión tyrtaeum de la familia Lumbricidae. La mayor riqueza fue encontrada en bosque con tres especies nativas y una exótica: R. aff vulcánica, K. parkus, K. sp, O. tyrtaeum; y en agroecosistemastres especies (Ramiellona sp y ambas exóticas). El estudio contribuyó con cinco nuevos registros para Guatemala. Es importante continuar estudiando la oligoquetofauna guatemalteca y aprovecharla en la generación devermicomposteo, o reproducirlas e introducirlas a los sistemas agrícolas y forestales en proyectos que intenten elevarla fertilidad de los suelos y su restauración.

Horticultural Fruit Crop Plantations Mapping using Geo-informatics Technology in Gujarat State, India

The cultivation and production of horticultural crops is known as Golden Revolution” and India has emerged as the second largest producer of fruits and vegetables in the world. The Central Government of India has started National Horticulture Mission (NHM) for overall development of Horticulture and Gujarat Government has also started Gujarat State Horticulture Mission (GSHM). This mission being implemented in 16-potential districts and covers major fruit crops in the state like mango, sapota, Aonla, banana, coconut etc. Under the GSHM, mapping of fruit crop plantations using Indian Remote Sensing Satellite (IRS) data in Gujarat State was carried out jointly by the Directorate of Agriculture, Govt of Gujarat and Bhaskaracharya Institute for Space Applications and Geo-informatics (BISAG), Govt of Gujarat. The major objective of this project was mapping of fruit crop plantations at village-level and preparation of village-level Horticultural Atlas of Gujarat State. High spatial resolution digital data from IRS LISS-IV and CARTOSAT-1 with spatial resolutions of 5.8m and 2.5m respectively, covering major fruit growing districts in Gujarat state was analysed for identification and delineations of fruit crop plantations in each survey number on cadastral map. The cadastral maps of each village were geo-referenced with satellite data and survey number boundaries were superimposed on the satellite data. Fruit crop plantations were located during field visits and their GPS locations were transferred to the satellite images with cadastral maps for unique identification and accurate mapping. The fruit crops in different districts of Gujarat State were identified on the high resolution satellite data based on the planting pattern and tree-crown density. The survey numbers having fruit crop plantations were delineated on the CARTOSAT-1 data. The fruit crop plantation maps of each village were prepared and complied at village and taluka level using open-source Quantum GIS software for preparation of village-level horticultural atlas of Gujarat State. The area under fruit crop plantations was also estimated. The results of this alternate method of mapping fruit crop plantations using high resolution, single-band CARTOSAT-1 panchromatic data on cadastral maps with survey numbers gave very good results for preparation village-level horticultural atlas of Gujarat State. Field survey in different villages was also carried out for accuracy assessment of survey numbers mapped as horticultural plantations.

Methodology for mapping the average transaction prices of residential premises using GIS

Abstract Geographic information systems (GIS) and their tools support the process of real estate trading. Of key importance is the ability to visualise information about real estate in the form of maps of average real estate transaction prices. The following study presents a methodology for mapping average real estate transaction prices using GIS. The map development process comprised three main stages. In the first stage, the input data was processed and statistically analysed. Official data came from the Register of Real Estate Prices and Values, and open data from the National Register of Boundaries. The second stage involved the visualization of the data in the form of maps of average apartment prices using the cartographic methods of choropleth maps and diagrams. The commercial tool ArcMap 10.3 and the free Quantum GIS software were used in the design of the maps of average real estate transaction prices, to check the options for using these types of programs. As a result, eight maps were designed presenting the average transaction prices for residential properties in the Warsaw district of Ursynów in 2015. The final stage was the analysis of the designed maps. The influence of the selection of the reference units on the visualization content, and the impact of combining cartographic presentation methods on the complexity of the presentation of real estate information, were also analysed.

AVALIAÇÃO DAÁREA DE PRESERVAÇÃO PERMANENTE DO RIO SANTO ANTÔNIO NA COLÔNIA SANTO ANTÔNIO EM GUIA LOPES DA LAGUNA – MS: APLICAÇÃO DO NOVO CÓDIGO FLORESTAL

O presente trabalho tem por objetivo analisar a Área de Preservação Permanente (APP) do rio Santo Antônio, no assentamento colônia Santo Antônio frente às mudanças implementadas no chamado código florestal. Foram analisadas três áreas rurais situadas nesse assentamento, sendo consideradas de pequeno e médio tamanho. A área de estudo, bem como as áreas rurais e APP estudadas, foram delimitadas a partir do banco de imagens online no software Quantum GIS com licença de uso gratuita. Entre as imagens disponíveis nesse banco de dados, escolheu-se a do satélite GeoEye 1 de alta resolução espacial (1,65 m), obtida do complemento open layers plugin Google Earth. Os resultados demonstram que existem graves problemas no cumprimento da legislação florestal. Foram identificadas faixas de APP com ausência de vegetação ciliare, consequentemente, problemas erosivos, ou sendo usadas para cultivo de pastagem e dessedentação de animais.Ao final, foi proposta a recuperação desses locais, com técnicas de isolamento e recuperação atravésde plantio de vegetação arbórea nativa ou regeneração natural, bem como a implantação de projetos com a participação dos produtores rurais por meio de Sistemas Agroflorestais (SAFs).Palavras-chaves: APP, Código Florestal, Desmatamento, Recuperação.

Confirming Legionnaires' Disease Outbreak by Genome-Based Method, Germany, 2012.

Confirming Legionnaires' Disease Outbreak by Genome-Based Method, Germany, 2012.

Modeling Flood Risk for an Urban CBD Using AHP and GIS

 Abstract—The Central Business District (CBD) of a city is the activity center of the city, typically locating the main commercial and cultural establishments, as well as acting as the center point of the city's transportation network. Flood risk assessment for a CBD is crucial for proper city planning and maintenance. In this study, we model the flood risk for the CBD of Tuguegarao City, which is located in northern Philippines. To accomplish this, we identified important flood-related factors whose data are either easily available or may be collected through some automated process that we developed. We then surveyed experts to gather their estimation of the importance of the identified factors, and then used the AHP to determine the consistency of the expert judgments as well as the relative weights of each factor. These factor weights from the AHP were applied to the gathered data, and a Quantum GIS software tool was used for visualization, producing a geo-hazard map that is color-coded representing 5 levels of estimated flood risks. Using such a GIS weighted overlay analysis map as guide, the city and municipal councils, planning agencies and other stakeholders can act to prepare for potential flooding or, better yet, proactively promote appropriate land-use policy that will minimize threat to lives due to flooding.