森林资源调查中突破VFP二维数组的限制  

Breaking Through the Limitations of VFP Two-dimensional Arrays in Forest Resource Survey

作　　者：张瑞富 康文智 ZHANG Rui-fu;KANG Wen-zhi(Key State-owned Forest Area Forest Resources Monitoring Center,State Forestry and Grassland Administration,Jiagedaqi 165000)

机构地区：[1]国家林业和草原局重点国有林区森林资源监测中心,加格达奇165000

出　　处：《温带林业研究》2023年第3期76-78,共3页Journal of Temperate Forestry Research

摘　　要：我国林业信息化由“数字林业”步入“智慧林业”发展新阶段,对林业生产的各种要素实行数字化设计、智能化控制、科学化管理;对森林、湿地、沙地、生物多样性的现状、动态变化进行有效监管,对生态工程的实施效果进行全面、准确分析评价,这些都需要基础数据的支撑。林业空间数据的属性数据,多是DBF格式的自由表,无论是统计汇总、分析评价还是科学决策,只针对属性库处理,就可大大地提高效率;VFP语言在统计汇总DBF格式数据中有着天然的优势,但有的统计表需要的统计数成百万上千万,而VFP在统计汇总过程中的数组最大只有二维,这就限制了VFP在林业统计汇总中的应用,如何解决VFP编程过程中数组最大二维的限制,实现多维数组的编程目的就显得尤为重要。Forestry informatization has entered a new stage of development from“digital forestry”to“smart forestry”,implementing digital design,intelligent control,and scientific management of various elements of forestry production;effectively supervise the current situation and dynamic changes of forests,wetlands,sandy land and biodiversity,and comprehensively and accurately analyze and evaluate the implementation effect of ecological engineering,all of which need the support of basic data.The attribute data of forestry spatial data is mostly free list in DBF format.Whether it is statistical summary,analysis and evaluation or scientific decision-making,the efficiency can be greatly improved by only dealing with the attribute database.VFP language has natural advantages in statistical summary of DBF format data,but some statistical tables require millions or even tens of millions of statistics.However,the maximum array size in VFP's statistical summary process is only two-dimensional,which limits its application in forestry statistical summary.It is particularly important to solve the limitation of maximum two-dimensional array size in VFP programming and achieve the programming purpose of multidimensional arrays.

关 键 词：VFP 二维数组 多维数组 DBF 统计汇总 

分 类 号：S757.2[农业科学—森林经理学]