Geoplanning Journal of Geomatics and Planning最新文献_第7页

A GIS TOOLKIT FOR AUTOMATING DESCRIPTIVE STATISTIC COMPUTATIONS FOR AIR QUALITY MODELING 用于空气质量建模的描述统计计算自动化的GIS工具包

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.53-62

A. Georgiou, Themistoklis Kontos

{"title":"A GIS TOOLKIT FOR AUTOMATING DESCRIPTIVE STATISTIC COMPUTATIONS FOR AIR QUALITY MODELING","authors":"A. Georgiou, Themistoklis Kontos","doi":"10.14710/GEOPLANNING.5.1.53-62","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.53-62","url":null,"abstract":"A GIS toolset was developed to support spatial analysis functions, visualization and extraction of a variety of input variables for air quality assessment. The developed toolset allows the automated processing of large amounts of ASCII data converting to points and raster data and the examination of the correlation among them. A case study was performed in Athens basin in Greece. Using the developed GIS toolset, topographic, climatic characteristics and air pollution conditions as well correlations were derived by processing the input data. In addition, thematic maps illustrating the spatial distribution of each parameter were extracted. The developed GIS toolset greatly reduced the time and effort needed to process the GIS data, and provided a useful tool for a wide variety of environmental applications. The tool uses ArcObjects as the programming language to incorporate equations for statistical analysis in a monthly and a yearly time step. This versatile programming language allows advanced users to incorporate more complex formulations for more accurate results as detailed data is acquired to develop routines for calibration when reference data exist. Results verified the usefulness and feasibility of the developed platform.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"53-62"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.53-62","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45598444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

PRELIMINARY INVESTIGATION OF THE ROBUSTNESS OF MAXIMALLY STABLE EXTREMAL REGIONS (MSER) MODEL FOR THE AUTOMATIC REGISTRATION OF OVERLAPPING IMAGES 重叠图像自动配准中最大稳定极值区域（MSER）模型鲁棒性的初步研究

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.63-74

O. G. Ajayi, I. J. Nwadialor, I. Onuigbo, O. Kemiki

{"title":"PRELIMINARY INVESTIGATION OF THE ROBUSTNESS OF MAXIMALLY STABLE EXTREMAL REGIONS (MSER) MODEL FOR THE AUTOMATIC REGISTRATION OF OVERLAPPING IMAGES","authors":"O. G. Ajayi, I. J. Nwadialor, I. Onuigbo, O. Kemiki","doi":"10.14710/GEOPLANNING.5.1.63-74","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.63-74","url":null,"abstract":"Various researchers in Digital Image processing have developed keen interest in the automation of object detection, description and extraction process used for various applications and this has led to the development of series of Feature detection and extraction models one of which is the Maximally Stable Extremal Regions Feature Algorithm (MSER). This paper investigates the robustness of MSER algorithm (a blob-like and affine-invariant feature detector) for the detection and extraction of corresponding features used for the automatic registration of series of overlapping images. The robustness investigation was carried out in three different registration campaigns using overlapping images extracted from google earth and image pair acquired from an Unmanned Aerial Vehicle (UAV). Sum of Square Difference (SSD) and Bilinear interpolation models were used to establish the similarity measure between the images to be registered, resampling of the pixel-values and computation of non-integer coordinates respectively while Random Sampling Consensus (RANSAC) algorithm was used to exclude the outliers and to compute the transformation matrix using affine transformation function. The results obtained from this preliminary investigation shows that the processing speed of MSER is quite high for Automatic Image Registration with a relatively high accuracy. While an accuracy of 61.54% was obtained from the first campaign with a processing time of 11.92 seconds, the second campaign gave an accuracy of 52.02% with a processing time of 11.20 seconds and the third campaign produced an accuracy of 55.62% with a processing time of 3.27 seconds. The obtained speed and accuracy shows that MSER is a very robust model and as such, can be deployed as the feature detection and extraction model in the development of an automatic image registration scheme.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"63-74"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.63-74","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48302353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MODEL OF MOTORCYLCE OWNERSHIP AND ITS IMPACT TO URBANIZATION IN RURAL AREA: A CASE OF KUDUS REGENCY, INDONESIA 摩托车所有制模式及其对农村城市化的影响&以印尼库都斯县为例

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.147-156

S. Intakoris, S. Soetomo, I. Buchori

引用次数: 0

IMPACT OF GOVERNANCE PERFORMANCE ON THE INDONESIAN MAP STANDARIDISING PROCESS 治理绩效对印尼地图标准化进程的影响

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.157-162

Nabiha Zain Muhamad, R. Koestoer

{"title":"IMPACT OF GOVERNANCE PERFORMANCE ON THE INDONESIAN MAP STANDARIDISING PROCESS","authors":"Nabiha Zain Muhamad, R. Koestoer","doi":"10.14710/GEOPLANNING.5.1.157-162","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.157-162","url":null,"abstract":"The lack of standardized thematic maps in Indonesia has led to many land ownerships conflicts on the ground. The problem began since Indonesia started to exploit its natural resources by giving up its management to the market in the early 1960s. Concessions to exploit natural resources were given out without adequate assessment to real potential value of the resources. Mapping of concession areas by respective ministries without any standardized method or reference lead to the production of multiple official maps that conflict one another. Efforts to standardize the conflicting maps were initiated in 2011 and is currently still ongoing. This study aims to derive governance performance indices that directly or indirectly affect the map standardizing process. This study interviewed sources related to either the policy making process at the national level; government officials executing the policy at the provincial level and those affected by the conflict and other stakeholders advocating their rights. Interviewees include a number of officials in the central government both current and when the initiative were launched, provincial government and at the village level. To achieve sustainable development in environmental management, good governance is a prerequisite. However, the study found that sectoral ego and low government performance including, among others, corruption played a big role in hindering the process. By adding governance performance indices along with natural and economic variables to a forecast model, it can be predicted when Indonesia will likely to achieve its ideal level of harmonized maps.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"157-162"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.157-162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41776591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SPATIAL EXPLICIT MODELING TO UNDERSTAND THE DYNAMICS OF LANDUSE SWITCH USING OPEN SOURCE SATELLITE DATA 利用开放源卫星数据理解土地利用变化动态的空间显式建模

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.1-16

Saifudheen Kalluvetty, S. Bandopadhyay

{"title":"SPATIAL EXPLICIT MODELING TO UNDERSTAND THE DYNAMICS OF LANDUSE SWITCH USING OPEN SOURCE SATELLITE DATA","authors":"Saifudheen Kalluvetty, S. Bandopadhyay","doi":"10.14710/GEOPLANNING.5.1.1-16","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.1-16","url":null,"abstract":"Restless global urbanization needs to monitor in order to design a stable and sustainable urban habitat. In this regard, remote sensing and GIS are considered as an efficient monitoring and decision-support tool in sustainable urban planning and practices. In this paper we accumulate the results of a research undertaken to measure the urban sprawl and land use dynamics of the Dehradun city, Uttarakhand using vast sixteen years data and spatially explicit cellular automata CA-Markov model. Furthermore, future scenario of the city and land use was also examined. To achieve the desired goal, sixteen years large temporal images of Landsat were used to analyze the spatial decoration of land use change in the study area. The outcome of this study was clearly reviled that there was a substantial change was take place in the Dehradun city and its surroundings in last sixteen years. Modeling proposed a clear trend of various land use classes’ transformation in the area of urban built up expansions and urban encroachment whereas agricultural lands and forest covers are reduced at an alarming rate over the time. Dynamically increasing population of the city can be approximated by the predicted future scenarios. In order to promote a balance in between urban growth and environmental protection towards a sustainable urban habitat and environmental, local community involvement and capacity building program can be an efficient drive in this regard.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.1-16","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41537119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

DROUGHT HAZARD CHARACTERISTIC USING SOIL MOISTURE DEFICIT INDEX MODELLING 基于土壤水分亏缺指数模型的干旱危害特征

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.91-100

L. M. Fitria, S. Fathurrohmah

{"title":"DROUGHT HAZARD CHARACTERISTIC USING SOIL MOISTURE DEFICIT INDEX MODELLING","authors":"L. M. Fitria, S. Fathurrohmah","doi":"10.14710/GEOPLANNING.5.1.91-100","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.91-100","url":null,"abstract":"Drought happen when the rainfall decreases in the extreme condition for long period of time (above normal). Drought hazard mapping can be analyzed by various approaches, like environmental approach, ecological approach, hydrological approach, meteorological approach, geological approach, agricultural approach, and many other. Badan Meteoroligi dan Geofisika (BMKG) measures the drought hazard by utilizing Standardized Precipitation Index (SPI)The comparison of rainfall rate through SPI has positive correlation with drought type, for example SPI 3 indicates agricultural drought; while SPI 6, SPI 9 and SPI 12 indicate hydrological drought. The analysis of drought hazard level also can be done using soil moisture level measurement. Soil moisture is the result of water shortages in the hydroclimatological concept. Soil moisture analysis utilizes several influenced variables, such as soil water, precipitation, evapotranspiration, and percolation. Each of variables was analyzed using GIS Software as a method of soil moisture modeling. Drought index level analysis is using soil moisture deficit index, which indicates that drought occurs if the index score less than (-0,5). Some assumptions used in this modeling are both SMDI modeling using WHC (Water Holding Capacity) and without using WHC. This modeling used medium term analysis during 2007-2012 to prove the occurrence of extreme drought on 2009 and 2012 for measurement of drought level in agriculture area. Based on SMDI, it is known that the dangers of SMDI drought have positive correlation to SPI 3, SPI 6, SPI 9, and SPI 12, where SPI is in accordance with the interpretation of meteorolgy, agriculture, and hydrological drought indices.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"91-100"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.91-100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42472989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ESTIMATING MANGROVE FOREST DENSITY USING GAP FRACTION METHOD AND VEGETATION TRANSFORMATION INDICES APPROACH 利用林隙分数法和植被转化指数法估算红树林密度

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.35-42

N. Khakhim, Akbar Cahyadhi Pratama Putra, Tantri Utami Widhaningtyas

{"title":"ESTIMATING MANGROVE FOREST DENSITY USING GAP FRACTION METHOD AND VEGETATION TRANSFORMATION INDICES APPROACH","authors":"N. Khakhim, Akbar Cahyadhi Pratama Putra, Tantri Utami Widhaningtyas","doi":"10.14710/GEOPLANNING.5.1.35-42","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.35-42","url":null,"abstract":"Mangrove forest represented a coastal ecosystem in Indonesia. Theoretical validation and in-field measurement by calculating the number of trees and the density data that was validated through remote sensing would not be appropriate because the remote sensing recorded canopy density and not tree stands. New method canopy photography or gap fraction method was the technique to predict sun radiation using the photograph taken upward through extremely wide lens and classification object image. The objectives of the study were (1) to examine the acuracy of the estimation of the mangrove forest density using vegetation index transformation, and (2) to map the mangrove forest condition. The location of the study was Alas Purwo Resort Grajagan National Park area. The material of the study was Landsat-8 OLI image recorded on January 19th, 2016 using SAVI vegetation index transformation method. Gap fraction filed measurement method was a new method in Indonesia. The results of the study showed that the regression of the SAVI index between index transformation value and in-field condition (R 2 ) was 0.566, the forest density estimation resulting from the SAVI index transformation had the RMSE of 2.334178 and the density of the mangrove forest in Grajagan Bay of the Alas Purwo National Park included low density of 0-12.5% (30.42 ha), medium density of 12.6-25% (116.55 ha), and high density of 25.1-37.6% (463.68 ha).","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"35-42"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.35-42","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42298643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

SPATIAL STATISTICS FOR MAPPING SOLID WASTE GENERATION MAPPING IN TEMBALANG, SEMARANG CITY 空间统计学在固体废物生成地图绘制中的应用SEMARANG市TEMBALANG市固体废物生成图

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.163-174

Septa Yudha Ardiansyah, M. Maryono

{"title":"SPATIAL STATISTICS FOR MAPPING SOLID WASTE GENERATION MAPPING IN TEMBALANG, SEMARANG CITY","authors":"Septa Yudha Ardiansyah, M. Maryono","doi":"10.14710/GEOPLANNING.5.1.163-174","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.163-174","url":null,"abstract":"The annually increasing number of urban populations will have impacts on waste generation. Tembalang Sub-district as a sub-district located on the outskirts of Semarang City has significant developments in the term of population growth in correlation with waste generation. Within four years, waste generation in the Tembalang Sub-district increased from the fifth rank to the third rank. It is possible that this sub-district will become the first rank in Semarang City in waste generation. To be able to identify influential factors and spatial distribution pattern of waste generation in Tembalang Sub-district, it is necessary to apply statistical and spatial approach. This study uses quantitative methods with a statistical spatial analysis approach by using GIS. In addition, this research also intends to model the relationships of Solid Waste Generation by applying socio-economic variables. Based on the results of Ordinary Least Square analysis, social economy variables that affect the amount of waste generation in Tembalang Sub-district are the number of population and trading activities. The model of formed socio-economic variables has the effect of 25% towards the amount of waste generation. Spatial patterns identified from waste generation shows that what needs to be considered is the waste management in TPS (Temporary Waste Disposal) in Tembalang and Sendangmulyo.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"163-174"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42580408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

WHY DO SPATIAL DATA AND INFORMATION HAVE A SIGNIFICANT ROLE IN SPATIAL PLANNING PROCESS? THE INVESTIGATION OF SPATIAL DATA AND INFORMATION USAGE IN INDONESIAN SPATIAL PLANNING POLICIES 为什么空间数据和信息在空间规划过程中具有重要作用？印尼空间规划政策中的空间数据和信息使用调查

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/geoplanning.5.1.131-146

A. Yudono

{"title":"WHY DO SPATIAL DATA AND INFORMATION HAVE A SIGNIFICANT ROLE IN SPATIAL PLANNING PROCESS? THE INVESTIGATION OF SPATIAL DATA AND INFORMATION USAGE IN INDONESIAN SPATIAL PLANNING POLICIES","authors":"A. Yudono","doi":"10.14710/geoplanning.5.1.131-146","DOIUrl":"https://doi.org/10.14710/geoplanning.5.1.131-146","url":null,"abstract":"In spatial planning processes, the different aspects of human interactions involving political circumstances, social, economics, historical and cultural objectives can be understood through maps or spatial visualisations, because those media can illustrate abstract phenomena into visual images. Spatial data has a role to play in spatial governance by providing thematic spatial information and analysis at all authority scales. Furthermore, spatial data and information are prerequisites for any participation in planning deliberation helping to create consensus. Spatial data and information currently have a role in communicating with all stakeholders (i.e. local authorities, private sectors and communities) whose interests are in development proposals in particular areas in order to decide implementation, priorities in local geographical areas. This paper investigates the role of spatial data and information in Indonesian spatial planning process using archival research method. The empirical studies take a qualitative approach in analysing the results of data collection from fieldwork observation through collecting legal documents and internal institutional reports. Synchronization and consistency between development plan and spatial plan must be ensured in every interrelated spatial policy, so that the various implementation efforts do not lead to conflict. Furthermore, spatial data and information has a crucial role in translating the development strategies into the implementation of the development programme for the implementation of the government's agenda.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"131-146"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/geoplanning.5.1.131-146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47680638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA 基于gis的印尼jeneberang河上游滑坡易感性评价及确定性因子效应分析

Geoplanning Journal of Geomatics and Planning Pub Date : 2018-04-25 DOI: 10.14710/GEOPLANNING.5.1.75-90

P. F. Nurdin, T. Kubota

{"title":"GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA","authors":"P. F. Nurdin, T. Kubota","doi":"10.14710/GEOPLANNING.5.1.75-90","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.5.1.75-90","url":null,"abstract":"This study aimed to assess landslide susceptibility by employing certainty factors model (CF) to select the causative factors for landslide susceptibility mapping in Upstream of Jeneberang River, South Sulawesi. Indonesia. The landslide causative factors were: soil, slope angle, aspect, elevation, lithology, land use, distance to the river, drainage density, and precipitation. For validation purpose, landslide inventory map was randomly partition into two groups, 30% for the validation and 70% for the training. Landslide susceptibility maps were produced by logistic regression using original factor (all nine factors) and selected factor (four factors with positive CF value). The result of certainty factor analysis shows CF value is positive for elevation, land use, slope and drainage density. The accuracy of two landslide susceptibility maps were evaluated by calculating the area under the curve of Receiver Operating Characteristic (ROC) curves. The result shows the the success rate curve for nine factor map (80.2%) is higher than four factor map (78%). But in case of closeness between success rate curve and predictive rate curve, certainty factors model has a closer distance. In this study, effect analysis studies show how the accuracy changes when the input factors are changed.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"5 1","pages":"75-90"},"PeriodicalIF":0.0,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.5.1.75-90","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66960858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6