SpPack: spatial point pattern analysis in Excel using Visual Basic for Applications (VBA)

نویسنده

  • George L. W. Perry
چکیده

Many different sciences have developed many different tests to describe and characterise spatial point data. For example, all the trees in a given area may be mapped such that their x, y co-ordinates and other variables, or ‘marks’, (e.g. species, size) might be recorded. Statistical techniques can be used to explore interactions between events at different length scales and interactions between different types of events in the same area. SpPack is a menu-driven add-in for Excel written in Visual Basic for Applications (VBA) that provides a range of statistical analyses for spatial point data. These include simple nearest-neighbour-derived tests and more sophisticated second-order statistics such as Ripley’s K-function and the neighbourhood density function (NDF). Some simple grid or quadrat-based statistics are also calculated. The application of the SpPack add-in is demonstrated for artificially generated event sets with known properties and for a multi-type ecological event set.  2003 Elsevier Ltd. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Visualizing solutions in network analysis with visual basic for applications

Network models have been very useful for analyzing problems involving telecommunications, supply chains, vehicle routing, and other areas. In this paper I discuss the importance of visualization for network optimization. Reasons include explaining the model to non-technical managers and obtaining better solutions for the network model. Better solutions can be a direct result of visualization (w...

متن کامل

Assessing Excel VBA Suitability for Monte Carlo Simulation

Monte Carlo (MC) simulation includes a wide range of stochastic techniques used to quantitatively evaluate the behavior of complex systems or processes. Microsoft Excel spreadsheets with Visual Basic for Applications (VBA) software is, arguably, the most commonly employed general purpose tool for MC simulation. Despite the popularity of the Excel in many industries and educational institutions,...

متن کامل

Seppanen 2 ARENA MODEL DESIGN USING VBA

Since 1984 the author has developed simulation models that use input data from spreadsheets. These original applications used a standalone Basic program to convert Lotus 123® data into Siman Experiment Frames. While this process has evolved overtime, it did not reach a truly viable level until Arena® 3.0 introduced Visual Basic® for Applications (VBA) by Microsoft®. This advanced tutorial demon...

متن کامل

Visual Basic Applications and Spreadsheet for Teaching Estimation of Nonparametric Density and Regression Functions

The aim of this paper is to show how teachers can use Visual Basic language on the spreadsheet for student sin order to gain the skills need in using nonparametric techniques for density and regression function estimations. The author has built a useful didactic tool on Excel Visual Basic for teaching and practice of nonparametric kernel methods, being intended for students with some preliminar...

متن کامل

Programming Excel with VBA and .NET - solve real-world problems with Excel

by Jeff Webb : Programming Excel with VBA and .NET: Solve Real-World Problems with Excel ISBN : #0596007663 | Date : 2006-05-05 Description : PDF-716bf | Why program Excel? For solving complex calculations and presenting results, Excel is amazingly complete with every imaginable feature already in place. But programming Excel isn't about adding new features as much as it's about combining exist...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Environmental Modelling and Software

دوره 19  شماره 

صفحات  -

تاریخ انتشار 2004