ArcGIS ModelBuilder Research Articles

Quantitative assessment of soil saline degradation using remote sensing indices in Siwa Oasis

Unsuitable practices and improper land management lead to soil degradation and therefore deviates land from optimum productivity. Remote sensing indices and spatial variability of soil properties were implemented in Arc GIS model-Builder for quantitative assessment of land degradation in Siwa Oasis, western desert, Egypt. Semivariogram model through Kriging techniques was used to produce maps of soil properties in two dates 2002 and 2017. This was done in order to calculate soil degradation rates and its areas in the studied area. The results indicated that geostatistical approach and ArcGIS model-builder can directly reveal the spatial variability of soil properties and measure accurately the changes in soil properties. The results will help the farmers and decision makers for improving the soil-water management. The cross-validation results illustrated the smoothing effect of the spatial prediction. Physical and chemical properties of 90 soil profiles were analyzed and chemical parameters were analyzed of 30 groundwater sample, collected from irrigation-wells. Landsat images of five different periods were collected to monitor the changes of the surface features of soil salinity and water logging. Soil analyses show a wide variability. The very saline, non-sodic soils cover most of the suited soils. Agricultural areas, saline soils and water logged areas were increased. The increment of saline soil and water logged areas is associated with poor drainage and increment in crop irrigation. There is degradation in groundwater quality which indicated by its salinity. The studied soils are salt-affected and this prompts the need of a proper land reclamation program and prods the development of effective irrigation and drainage systems.

A GIS-based approach for identifying potential sites for harvesting rainwater in the Western Desert of Iraq

People living in arid and semi-arid areas with highly variable rainfall and unforeseeable periods of droughts or floods are severely affected by water shortages and often have insecure livelihoods. The construction of dams in wadies to harvest rainwater from small watersheds and to induce artificial groundwater recharge is one of the solutions available to overcome water shortages in the Western Desert of Iraq. The success of rainwater harvesting (RWH) systems depends heavily on their technical design and on the identification of suitable sites. Our main goal was to identify suitable sites for dams using a suitability model created with ModelBuilder in ArcGIS 10.2. The model combined various biophysical factors: slope, runoff depth, land use, soil texture, and stream order. The suitability map should be useful to hydrologists, decision-makers, and planners for quickly identifying areas with the highest potential for harvesting rainwater. The implementation of this method should also support any policy shifts towards the widespread adoption of RWH.

Determining topographic shielding from digital elevation models for cosmogenic nuclide analysis: a GIS model for discrete sample sites

Topographic shielding (TS) is an important factor in cosmogenic nuclide surface exposure dating. The development of geographic information systems (GIS) and the availability of digital elevation models (DEMs) make it possible to derive this factor directly from a DEM. Most available GIS models derive the TS factors for an area (all cells in a DEM) without the consideration of surface conditions of individual sites, such as the strike, dip, and height above ground, into the calculation. This paper presents a new GIS model to derive the TS factors for discrete sample sites. This model uses the Skyline and Skyline Graph functions in ArcGIS to extract the set of azimuth and elevation angles of topographic obstructions around each site from a DEM (considering the sample height above ground) and then incorporates the strike and dip information of the sample surface to derive the TS factor. All processing tools and steps are streamlined in ArcGIS modelbuilder and this model can be run like a standard ArcGIS geoprocessing tool. It provides an easy and user-friendly means to derive the TS factors for discrete samples based on a DEM and the measured strike, dip and sample height for each site.

Development Land Erosion Model Using Model Builder GIS (Case Study: Citepus Watershed)

Land erosion is the impact of increasing runoff discharge and land use conversion to impervious areas. Land erosion usually calculated by formula called USLE (Universal Soil Loss Equation) then modified as MUSLE (Modified Universal Soil Loss Equation). These formula calculate average annual soil loss in tons/areas depends on rainfall erosivity (R), soil erodibility factor (K), topographic factor (LS), cropping and conservation factor (CP). GIS (Geographic Information System) is a system designed to capture, manipulate, and analyze spatial/geographic data. There are some tools related water resources analysis in ArcGIS such as: watershed analysis and also have a tools for user to create their own model called model builder. This research was aim to create a model to calculate land erosion using MUSLE formula by model builder in ArcGIS. The output for this research is the model which can be used to calculate annual soil loss in watershed area based on GIS systems. For the model trial and case study, we use Citepus watershed located on Bandung West Java, that has 5 river branches: Cibogo, Cikakak, Cilimus, Cipedes and Ciroyom. As the result of the model, the value of average annual soil loss in Citepus watershed can be calculated automatically by developed model.

A GIS-based method for revealing the transversal continuum of natural landscapes in the coastal zone

The method presented in this article is helpful for analyzing the landscape properties and unfolding the transversal continuity of natural landscapes in the coastal zone. The novel conceptual approach to analyze the landscape structure in the transversal direction with reference to coastline is different from others focusing on the longitudinal analysis of landscape properties in the coastal areas. The procedure is relying on the fundamental questioning of the spatial relation of each landscape patch with the coastline. The raw material is Land-Use/ Land-Cover (LULC) data. At this stage the method is tested successfully utilizing CORINE Land Cover (CLC) data. The method is structured in four sequential stages, and formalized via ModelBuilder/ ArcGIS software into a model applicable to any coastal zone. The output of each phase is used as the raw material of the following stage. The presented method is useful in identifying a set of endangered natural landscape patches located as a hinge in between two transversally connected natural landscape mosaics (TCNLM). A second set is highlighted as potential artificial surfaces located as barriers between the coastline and TCNLM. The presented method is useful in the analysis stages of Integrated Coastal Zone Management (ICZM) and Sustainable Coastal Tourism (SCT).•The presented procedure focuses on the transversal landscape structure in the coastal zone rather that the classical longitudinal analysis of coastal landscapes.•The procedure brings a new way of CORINE Land Cover data utilization beyond its basic monitoring objective, useful for a variety of decision making and management processes such as; Integrated Coastal Zone Management (ICZM), Sustainable Coastal Tourism (SCT), Environmental protection, Landscape connectivity, etc.•The method builds a novel tool set customized via ModelBuilder in ArcGIS, being applicable to any coastal zone.

Co-integration of acoustic simulation software and GIS for speech intelligibility analysis in complex multi-source acoustic environments. Application to Toledo's Cathedral

The speech intelligibility in complex multi-source acoustic environments depends on a variety of factors such as speech level, background noise level, reverberation time, as well as psychoacoustic effects. Since these factors can change for each source-receiver combination, in order to integrate information from various sources, efficient tools and techniques are required to determine the speech intelligibility at every listener position. In drawing up this study, two types of tools are used: (i) an acoustic simulation software (ODEON) and (ii) spatial analysis tools of a Geographic Information System (ArcGIS). To determine the speech intelligibility, the Speech Transmission Index (STI) has been calculated. Sound Pressure Level and Reverberation Time have been calculated at points of a grid at intervals of 1 meter. An automated workflow using ArcGis Modelbuilder has been created in order to obtain STI. Also, Arcmap has been used to represent and analyze the results over the complex geometry of the space. The proposed procedure has been calibrated using information obtained in the Toledo Cathedral (Spain) and the results for acoustic situations related to different celebrations of the liturgy are presented.

Evaluation the Performance of Al-Horh Signalized Intersection Using ArcGIS (ModelBuilder)

Signalized intersections are key elements in the urban transportation network where carry heavy traffic of motorized and non-motorized vehicles and pedestrians the intersection during peak periods. Intersection congestion is expressed in terms of level of service (LOS) as defined by the Highway Capacity Manual (HCM).Level of service is defined in terms of delay and ranges from LOS A (free-flow conditions) to LOS F (long delays). Delay represents an average stopped delay per vehicle fora 15-minute analysis period.
 The objective of this paper is to evaluate the operational capacity of intersection (AL-Horh) in AL-Kut city.AL-Horh intersection is a ground intersection with four legs. Itrepresent one of the main intersections in Al-kut city for it links the traffic coming from Al- Zafaf Street to Al- Hora and Al- Kafaat Street. The volumes of traffic get congested in the morning and evening at this intersection.To achieve the evolution performance of intersection 700 TVL Samsung video cameras have been used to measure traffic volume in the intersections with 3.6mm lens and total station were used to survey the intersection whereas ArcGIS (ModelBuilder) were used for processing for the purposes traffic analysis process.The operational analysis of the existing conditions of this intersection indicates that the LOS is (F) with an intersection delay value of 175.363sec. /vehicle.

METHOD OF AUTOMATICALLY MODELING COMPLEX GEOLOGICAL BODIES WITH ARCGIS MODELBUILDER

3D Geological modeling technology can more intuitively represents the 3D structures and spatial distribution of rock formations of subsurface, when it is compared with traditional 2D geological mapping technology. It has important applications in planning, design, construction and risk assessment of the engineering projects. Modeling objects often involves complex geological bodies in engineering fields. In order to improve the automatic level of 3D geological modeling, this paper proposes an automatic method of modeling complex geological bodies based on ArcGIS Model Builder. First, the borehole data and geological section maps are used as data source. The Python object-oriented programming language and ArcPy package are combined for automatic preprocessing of the drilling data. Secondly, the function of automatic vectorization of ArcScan and the human computer interaction (HCI) of SkechUp are combined for extracting the 2D and 3D fault lines and then stored in GIS spatial database. Thirdly, the Model Builder of ArcGIS, a visual modeling tool, is used for automatically creating the 3D solid models of strata and the 3D surface models of faults using the data processing, file conversion and 3D analysis tools of the ArcToolbox. Fourthly, the cutting, cross-section and excavation polygons are vectorized respectively as the inputs of the 3D analyst tool of Extrude between extended using ArcPy. The 3D visualization tool of ArcScene is used for realizing multiple types of visualization. Finally, the drilling data acquired from the 3D geological survey in Nanjing Xianlin area are used for practical modeling test. The modeling results show that the method has accurate, rapid and automatic advantages, which can provide reliable technical solutions for large-scale and mass geological modeling.

Cartographie de l’intensité du feu et de la sensibilité aux feux de cimes en forêts méditerranéennes. Cas de la province de Chefchaouen au nord du Maroc

Mapping of fire intensity and of sensibility to crown fires in Mediterranean forests. Case of the province of Chefchaouen in northern Morocco. The current evolution of the forest fire regime poses new challenges to the usual practices of forest management plans and forest fires strategies. The implementation of wisely measured actions on the ground in terms of preventive silviculture, water points or fire breaks, requires a deep understanding and a fine mapping of the fire behaviour. This paper focuses first on mapping the fire intensity using the Byram formula in the province of Chefchaouen, one of the most affected regions by this scourge in Morocco. The fire speed of spread is estimated using the parametric equations derived from the physical model FireStar, the spatially varying wind fields according to the relief are carried out by the Windninja software. Secondly, the localization of sensitive areas to crown fires was carried out using the Nelson & Adkins model. The ArcGIS model-builder has been very useful to produce automatically all different maps (intensity map, propagation speed map, flame height, etc.). Results show that almost 55 % of forest areas have a fire intensity ranging from medium to very high (> 1700 Kw/m), among which 11 % with extreme intensity values (over 7000 kW/m). Also the study reveals that 30 % of the forests in the study area are sensitive to crown fires mainly located in zones with flames exceeding 2 m height. On the other hand, the spatially varying wind fields using WindNinja shows that the input wind speed (2.8 m/ s) has almost tripled (7.72 m/s) on 83 % of the territory, and the propagation speed reaches a maximum of 1.5 m/ s (5.4 km/h) on almost 10 % of the forested area.

New ArcGIS tools developed for stream network extraction and basin delineations using Python and java script

Damages caused by flash floods hazards are an increasing phenomenon, especially in arid and semi-arid areas. Thus, the need to evaluate these areas based on their flash flood risk using maps and hydrological models is also becoming more important. For ungauged watersheds a tentative analysis can be carried out based on the geomorphometric characteristics of the terrain. To process regions with larger watersheds, where perhaps hundreds of watersheds have to be delineated, processed and classified, the overall process need to be automated. GIS packages such as ESRI's ArcGIS offer a number of sophisticated tools that help regarding such analysis. Yet there are still gaps and pitfalls that need to be considered if the tools are combined into a geoprocessing model to automate the complete assessment workflow. These gaps include issues such as i) assigning stream order according to Strahler theory, ii) calculating the threshold value for the stream network extraction, and iii) determining the pour points for each of the nodes of the Strahler ordered stream network. In this study a complete automated workflow based on ArcGIS Model Builder using standard tools will be introduced and discussed. Some additional tools have been implemented to complete the overall workflow. These tools have been programmed using Python and Java in the context of ArcObjects. The workflow has been applied to digital data from the southwestern Sinai Peninsula, Egypt. An optimum threshold value has been selected to optimize drainage configuration by statistically comparing all of the extracted stream configuration results from DEM with the available reference data from topographic maps. The code has succeeded in estimating the correct ranking of specific stream orders in an automatic manner without additional manual steps. As a result, the code has proven to save time and efforts; hence it's considered a very useful tool for processing large catchment basins.

Integration of land use, land cover, transportation, and environmental impact models: Expanding scenario analysis with multiple modules

It is an expensive and time-consuming task to develop a new model. Furthermore, a single model often cannot provide answers required for complex decision making based on multiple criteria. Coupling models are often applied to make use of existing models and analyze complex policy questions. This paper provides an overview of possible model integration approaches, briefly explains the modules that were integrated in a particular application, and focuses on the integration methods applied in this research. While the initial attempt was to integrate all models as tightly as possible, the authors developed a much more agile integration approach that allows adding and replacing individual modules easily. Python wrappers were developed to loosely couple land use, land cover, transportation, and emission models developed in different environments. ArcGIS Model Builder was used to provide a graphical user interface and to present the models’ workflow. The suggested approach is especially efficient when the models are developed in different programming languages, their source codes are not available, or the licensing restrictions make other coupling approaches impractical.

MODEL SPASIAL KERENTANAN DIKAWASAN PESISIR SELATAN TELUK BETUNG KOTA BANDAR LAMPUNG TERHADAP BENCANA TSUNAMI

ABSTRACT
 Bandar Lampung is an area in Indonesia which has a high level of Tsunami threat. It is due to the position of Bandar Lampung which is located relatively near the meeting point of Indo-Australian plate dan the Eurasian plate; both are plates are relatively active. Other causes are earthquake threat and the existence of Krakatoa which is potential to generate earthquakes which are followed by a Tsunami. The data analysis showed that the potential Tsunami hazard in the coastal city of Bandar Lampung is the predicted distance run up the marinade tsunami that reached a height of 20 meters above sea level. Potential hazards include four districts, i.e. Bumi Waras District, Panjang District, South Teluk Betung District, and East Teluk Betung District. The research method is Cell-Based modeling, the one using the tool model builder in Arc GIS with 1 meter raster grid analysis, which can show and explain in detail the attributes that exist in the region. From Quick Bird image that has of 0.6 meter resolution, the existing condition of the land use can be clearly seen. The results of the analysis showed the vulnerability of Tsunami in the city of Bandar Lampung. The results showed that Bumi Waras District has the highest vulnerability level at Bumi Waras Subdistrict with an area of 85.62 Ha. Panjang District has the highest level of vulnerability at Pidada Subdistrict with an area of 30.16 ha. South Teluk Betung District has the highest level of vulnerability at Pesawahan Subdistrict with an area of 0,02 Ha. East Teluk Betung District has the highest level of vulnerability at Kota Karang Subdistrict with an area of 32.11 Ha. Keywords: Tsunami disaster, Vulnerability and cell-based modeling

Application of geographic information system for inland fisheries management: A case study of Stratum VII (Yeji Sector), Volta Lake, Ghana

A geographic information system (GIS)-modeling of fish production in the Stratum VII of the Volta Lake was undertaken with the objective of investigating temporal changes and modeling fish production into the future. Parameters used included number of canoes, number of fishers, and water level. Stratum VII of the Volta Lake is currently one of the areas with the highest fishing activities, the largest fish market at Yeji and relatively a research center. Nevertheless, the lake has faced many setbacks due to poor management and monitoring. In order to combat these challenges, this study was conducted to investigate the temporal changes and forecasting production of Stratum VII of the Volta Lake using Geographic Information System. Long term field data from 1970 to 1998 on fisheries were acquired and analyzed for modeling fish production from 1970 to 2060, using ArcGIS management tools and model builder. A hind cast was first performed to validate the model. The model, “CPUE model” predicted a depletion of the fish of Stratum VII by 2055 with a maximum of 22,779 tonnes at a fishing effort of 9,826 canoes and a CPUE of 10.76 kg/canoe/day in the year 2005. Long and short term data were also compared in the Stratum VII. The R2 values of the correlation of the number of fishermen, number of canoes and the water level over the years are high (89.9%, 78.21%) and moderate (50.71%). These correlations showed a continuous increase in the fishing effort and decrease in the water level; trends that impact negatively on the fish production over the years. This study has established appropriate mechanism for incorporating field data into a GIS database to support fishery management in the Volta Lake. Key words: Geographic information system (GIS) modeling, CPUE model, temporal changes, fish production, fishing effort.

Automated Geoprocessing Workflow for Watershed Delineation and Classification for Flash Flood Assessment.

The characteristics of a drainage basin have a major effect on the risk potential for flash floods. For a detailed study on the risk potential detailed topographic, geological, soil related, meteorological, and historical data is needed, which is not available in many regions of the world. On the other hand, high resolution Digital Elevation Models are ready to use, from which topographic parameters of a watershed related to the risk potential can be extracted. In this study a complete automated workflow based on ArcGIS ModelBuilder using standard tools will be introduced and discussed. Some additional tools have been implemented to complete the overall workflow. These tools have been programmed using Python and Java in the context of ArcObjects. The model has been applied to the upper reach of the Akhangaran river south-east of Tashkent in Uzbekistan, which covers a total area of about 3600 km2. For the study area according to Strahler order 4 sub-basins of 6th order, 20 of 5th order, 71 of 4th order , 326 of 3rd order, and 1559 of 2nd order have been classified. The sub-basins have been evaluated according to the stream bifurcation ratio, the drainage density, the stream frequency, the circular ratio, the elongation ratio, and some other parameters.

Geospatial assessment of potential bioenergy crop production on urban marginal land

Urban marginal land can be used for growing high yield bioenergy crops such as miscanthus and poplar. Here, a GIS-based modeling framework was created to assess potential urban marginal lands in Boston that include vacant lands and under-utilized public and private areas with adequate soil quality and sunlight. Using ArcGIS model builder as a spatial analysis tool, land parcels were screened for typical urban features such as buildings, driveways, parking lots, water and protected areas. The resultant layer was subjected to bio-geophysical modeling that includes soil quality, slope analysis and finally shadow analysis. Approximately 2660ha of potential marginal land was identified as suitable, representing 24% of total land area in Boston. Using crop yield information, it was estimated that this marginal land could be used to produce up to a total of nearly 42,130tons of high yield short rotation poplar biomass in a regular growing season. Also, bioenergy potential calculation revealed that for short rotation poplar, this amount of biomass can potentially yield up to 745 TJ (LHV) to 830 (HHV) TJ of yearly primary energy for the city of Boston that can be used for heat or electricity production, particularly for microgrid or district heating applications. This is equivalent to ∼0.6% of Massachusetts primary energy demand for 2012. Ongoing work will explore other urban regions of Massachusetts and the Eastern US that might be able to fulfill part of their energy demand locally while providing benefits in environmental quality, economic development, and urban resilience.

Modelling the potential of rainwater harvesting in western Kenya using remote sensing and GIS techniques

Water scarcity is among the many problems faced today by many countries in the world, especially African countries. The Kakamega area in western Kenya is known for plenty of rainfall (around 2000 mm annually), however, rainwater harvesting (RHW) from roofs is not yet a common practice in the region. In this study, we determined the potential of RWH as an alternative or preferred source of safe water for domestic use. Spatial modelling techniques using amount of rainfall, census data and detailed information available from the classification of very high resolution QuickBird satellite imagery as input data were applied to implement various approaches. Four conceptual models were developed at three different levels of detail: the Kakamega-Nandi forests area (3900 km²), the QuickBird imagery covered area (473 km² of farmland) and Buyangu village (1.9 km²). The four models were implemented in ArcGIS ModelBuilder and reveal the potential of such spatially explicit simulations to guide planners and to demonstrate the benefits of RWH to the local people. In the Kakamega-Nandi forests area, it rains enough to meet the annual water demand of 7300 l per person almost throughout the entire area.

Empleo del programa VolcFlow para simular flujos piroclásticos del Volcán Cerro Machin, Tolima, Colombia

<p>Se presentan los resultados de simular futuros flujos piroclásticos que podría producir el Volcán Cerro Machín, ubicado en la Cordillera Central de Colombia. Esta simulación se realizó con el programa VolcFlow desarrollado por el Laboratorio de Magmas y Volcanes de la Universidad Blaise Pascal, Francia, diseñado especialmente para modelar el comportamiento de este tipo de productos volcánicos, ya que está basado en las características reológicas de esos flujos. Se comparan las áreas que serían potencialmente afectadas por una erupción de ese tipo y los espesores del material que se depositaría con resultados obtenidos de simulaciones realizadas con un Model Builder desarrollado en ARC GIS por el Grupo de Investigación Geomática Aplicada de la Universidad Militar Nueva Granada en Colombia, obteniéndose resultados similares. </p>

GIS를 이용한 생태마을 입지분석 모델 개발 - 경북 포항시 북구를 사례로

본 논문은 생태마을 입지분석에 필요한 표준화된 분석요소와 평가기준을 정립하고, GIS를 이용한 생태마을 입지분석 모델을 개발하여 실제 적용한 결과를 제시하였다. ArcGIS 모델빌더(Model Builder)를 활용하여 개발된 모델은 사용자가 GIS 프로그램에 익숙하지 않더라도 쉽게 사용할 수 있도록 사용자 편의성을 최대한 고려하였다. 이를 위해 첫째, 기존연구 분석을 바탕으로 크게 자연환경 요소, 인문/사회적 요소, 법제적 요소로 분류되는 18개의 보편적이고 정량적인 생태마을 입지분석 요소와 평가기준을 선정하였고, 각 요소의 등급화 및 점수화 방안을 제시하였다. 둘째, ArcGIS 모델빌더를 활용하여 18개 입지분석 요소의 주제도 작성과정과 생태마을 입지로 적합한 지역을 도출하는 중첩분석 연산과정을 체계적으로 정리한 생태마을 입지분석 모델을 개발하였다. 셋째, 개발된 모델의 유효성을 검증하기 위하여 포항시 북구를 테스트 사이트로 생태마을 입지분석을 수행하였다. Using ArcGIS Model Builder, with emphasis on the importance of ecology and user friendliness, a model for site selecting tool is developed. This tool is developed by establishing standardized method for data selection and analysis with evaluation criteria using GIS. For this task, our first action was to objectively define and establish 18 elements to evaluate the potentiality of the site based on extensive literature reviews. These 18 elements reflect environmental, social/cultural and legal aspects that may influence the decision process to select the desired site. Secondly, using ArcGIS Model Builder, 18 analytical elements were made into thematic mapping which represent systematically organized graphic input to the model with automatic double check system and overlay analysis capability. Thirdly, to validate the effectiveness of the developed model, site location analysis was performed using the actual site, Buk-ku, Pohang.

Proxy quantification and mapping of seasonal rangeland herbage using grass cover in the cattle corridor of Uganda

This study aimed at estimating herbage mass functional relationship with rainfall and selected soil morphological properties using Geographic Information Systems (GIS). Herbage mass as dry matter (DM) measurements from quadrat harvesting method and estimations based on grass cover were done. Herbage on 1 × 1 m quadrats was harvested and oven dried at 60°C until constant weight. Grass cover data collection was based on spectral strata of vegetation cover types obtained from Landsat image. Rainfall data were collected from 14 rain gauge stations. Soil profiles were described and their drainage was determined. A multi-linear regression analysis was performed to determine the relationship among DM, grass cover, rainfall effectiveness and soil drainage. The relationships among the variables were integrated using ModelBuilder in ArcGIS 9.3 to come up with spatial and seasonal herbage distribution. Results showed a strong relationship among the above variables and DM (R 2 = 0.76; p < 0.001). Grass cover was found to be the important variable for herbage DM determination (R 2 = 0.73; p < 0.001). A correlation analysis of estimated and harvested DM resulted in a positive relationship (R 2 = 0.85). Estimated DM ranged between 895 and 1923 kg/ha with the highest DM during March–May and the lowest during September–November. This study demonstrated that grass is an important proxy measure of spatial and seasonal patterns of rangeland herbage mass. Therefore, rangeland herbage can in reality be monitored based on grass cover measurements to avoid or at least minimize the cost, destruction and information timeliness implications that are known to be associated with harvesting methods.

Space Analysis Modelling of Mineralization Forecast Appraisal Using ArcGIS ModelBuilder: Taking Wuyishan Mineralization Belt Dashen Sheet as the Pilot Area

In order to realize digitized,intellectualized and automated mineralization prospect forecast appraisal,first we carried out mineralize prospect quota forecast appraisal question decomposition under the GIS environment,based on data-driven and knowledge-driven approaches such as the evidence weighted method and information mensuration,to realize geological variable screening and Layer through the ArcGIS space analysis model builder,as well as get the comprehensive information prospecting geologic model and information mensuration or evidence weighted quantitative model by the layout description.Next,to the geological variable characteristic,different mathematical quantification method,unit division and the evaluation method and so on,through analysis and comparison under the GIS environment,proposed simultaneously the rule grid(surface shape) or the equal grid center(point shape) as the basic unit,important method,central point method,area method and corresponding0 or 1two-state evaluations as recognition variable existence or not through ArcGIS space analysis modelling realization.Thirdly,based on the variable standardization transformation and the multi-dimensional space linearity mapping quantitative evaluation model,we overcomed the influence of geological variables,which,are not equal and not independent,to the appraisal.On that basis,taking the map of Dashen sheet in Wuyishan metallogenic belt of scale 1∶50000 as the experimental plot,applying ArcGIS Model Builder method,we finally established the ArcGIS space analysis model on iron,copper,lead-zinc mineralization prospect quota forecast appraisal,selected 12 prospect areas,which included 3 areas of class A,3 of class B and 6 of class C.The forecast result is basiclly consistent with that of the information mensuration and evidence weighted method.