A novel estimation of scientific and technological innovation index using multi-modal data - Details

author：

Qiu, Y. (Qiu, Y..) ^[1] | Chen, Z. (Chen, Z..) ^[2] (Scholars：陈佐旗) | Zou, C. (Zou, C..) ^[3] | You, X. (You, X..) ^[4]

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Abstract：

Scientific　and　technological　innovation　(STI)　index　refers　to　the　level　of　STI　and　has　become　a　powerful　indicator　of　national　competitiveness,　since　STI　can　help　revolutionize　traditional　products　and　generate　new　products,　and　lead　to　rapid　economic　growth,　and　obvious　energy　conservation.　Traditionally,　assessing　the　STI　index　has　mainly　relied　on　statistical　data,　which　has　a　coarse　spatio-temporal　resolution.　Thus,　this　study　proposes　a　novel　method　to　estimate　the　annual　and　monthly　STI　index　at　county　level　by　fusing　multi-modal　data:　NTL　data　and　POI　data.　This　method　demonstrates　robust　performance　with　an　R2　value　of　0.81　and　has　a　strong　generalization　capability.　By　analyzing　the　driving　factors　under　different　innovation　development　patterns,　we　conclude　strategies　to　improve　the　STI　level　in　counties　following　various　patterns　of　STI.　Due　to　its　accuracy　and　effectiveness,　our　method　has　potential　for　application　across　a　wide　range　of　regions　and　over　extended　time　periods.　©　2025　Wuhan　University.　Published　by　Informa　UK　Limited,　trading　as　Taylor　&　Francis　Group.

Keyword：

multi-modal data fusion Nighttime light data (NTL) point of interest (POI) scientific and technological innovation (STI)

Community：

[ 1 ] [Qiu Y.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, China
[ 2 ] [Qiu Y.]The Academy of Digital China, Fuzhou University, Fuzhou, China
[ 3 ] [Chen Z.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, China
[ 4 ] [Chen Z.]The Academy of Digital China, Fuzhou University, Fuzhou, China
[ 5 ] [Zou C.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, China
[ 6 ] [Zou C.]The Academy of Digital China, Fuzhou University, Fuzhou, China
[ 7 ] [You X.]School of Geographical Sciences, Fujian Normal University, Fuzhou, China

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Source ：

Geo-Spatial Information Science

ISSN： 1009-5020

Year： 2025

4 . 4 0 0

JCR@2023

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